Sannidhan M S

Scopus Publications

A Comparative Study of Deep Learning Models for Photo-to-Sketch Recognition with CAT Preprocessing
Philomina Princiya Mascarenhas, Sannidhan M S, Aashna Mathias, Dabis Camero, Jason Elroy Martis
Proceedings of 5th International Conference on Communication Computing and Electronics Systems Iccces 2026, 2026
In recent years, facial recognition systems have become widely used in many applications, especially in biometrics and law enforcement. Advances in the field have led to the development of pre-trained deep learning models that achieve good accuracy even when training data is limited. Earlier studies have shown that these models perform well on original photographs but struggle when the input comes from other domains such as sketches. In crime investigations, officers often have only the suspect's sketch, and using pre-trained models directly on such sketches gives low accuracy because important texture and lighting details are missing. To address this issue, our study applies a Contour Accentuation Technique (CAT) to enhance the texture information in sketches. This improves the clarity of sketch features and supports better learning by deep learning models. To evaluate the effectiveness of CAT, we conduct a comparative study using multiple recognition models with and without CAT. The models are tested under a unified setup with cross-validation. The results show that the use of CAT improves face recognition performance, with an average accuracy gain of 7.7%. The working model of our paper is found in https://github.com/Princiya1990/faceRecognition.
Empowering Sustainable Agriculture Through IoT and Multimodal Recommendation Systems: A Deep Learning Approach
Jason Elroy Martis, M. S. Sannidhan, C. V. Aravinda
Studies in Big Data, 2025
An Approach For The Enhancement Of Facial Images Captured Under Low Light
Aishwarya Salian, M.S. Sannidhan, Jason Elroy Martis
2025 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies Inspect 2025, 2025
Due to poor lighting conditions, images captured in outdoor scenes can of reduced in quality. Since quality is a must and Low-light conditions offer any, we choose image enhancement to create a much more appealing picture. One such case is Criminal identification. When a crime takes place in dark and dull places it is very difficult to identify the people involved or even spectate the event. The paper provides details on the low-light facial image enhancement which can be done by using the approach of estimating illumination map. This approach is a spatialdomain enhancement which operates on particular pixel values. The initial illumination map is processed and is used for enhancing the low-light facial image according to simplified Retinex model. The result will be quality images.
Automated Hive Image Analysis: A Comparative study on Machine Learning Approach for Bee Detection and Classification
Pratheeksha Hegde N, Jason Elroy Martis, Sannidhan M S, Dabis Camero
Proceedings of the 9th International Conference on Electronics Communication and Aerospace Technology Iceca 2025, 2025
Honeybee populations are essential for pollination and agricultural productivity but face increasing threats from parasites, pesticides, and climate change. To address the need for effective hive monitoring, this study introduces a deep learning-based system for automated bee detection and classification. Utilizing the YOLO (You Only Look Once) architecture, the proposed method performs real-time identification of various bee types, including worker bees, pollen carriers, hornets, and queen bees. The system consists of four stages: object detection, bee isolation, feature extraction, and classification. A dataset of 5,025 annotated hive images was used to train and compare multiple YOLO versions. Among them, YOLOv8 achieved the highest accuracy—98.87% at 100 training epochs. Evaluation metrics such as confusion matrices and performance curves confirm the system's effectiveness in distinguishing between bee categories. The proposed approach offers a scalable, accurate, and efficient solution for intelligent beekeeping. Future work will focus on real-time behavior analysis, handling environmental variability, and deployment on low-power edge devices.
Evaluating Performance of LG-CycleGAN for Photo-Sketch Generation
Niveditha Chatra, Sannidhan M S, Jason Elroy Martis, Pradeep Nazareth
Proceedings of 2025 International Conference on Intelligent Systems and Pioneering Innovations in Robotics and Electric Mobility Transforming Mobility and Automation Through Intelligent Engineering Inspire 2025, 2025
Human faces are the most important part of the daily life because they are the way we connect and recognise the people on everyday basis. Face photo-sketch synthesis and identification has many applications in the modern world, which include law enforcement, improving security systems and making creative digital art or animation. In recent times, baseline CycleGAN performance has been enhanced by different improvements, but they have not been explicitly considered in maintaining facial geometry and finer feature mapping. In this paper, we have proposed the Bidirectional Photo-Sketch CycleGAN with the Landmark-Guided Style Injection model to improve the structural aspect of the face. It helps in maintaining the positions of significant facial landmarks like eyes, mouth and nose, which in return helps in retaining the form and texture of the face better when translating between photos and sketches. Both the sketch-to-photo and photo-to-sketch tasks are used in the experiments using the CUHK dataset. The results obtained from the proposed model show SSIM scores of 0.76 for photos and 0.70 for sketches, which are better than those achieved by the baseline CycleGAN model.
Photo-to-Sketch Transformation using Contour Accentuation for High-Quality Outputs
Philomina Princiya Mascarenhas, Sannidhan M S, Niveditha Niveditha, Dabis Camero, Jason Elroy Martis
Proceedings 3rd International Conference on Self Sustainable Artificial Intelligence Systems Icssas 2025, 2025
Sketches play a vital role in forensic investigations and other fields but creating them is a time-consuming process that relies heavily on human effort. We have explored various image processing techniques to assist in sketch generation and research has shown that production of high-quality sketches from photographs poses a significant challenge. This article introduces a Contour Accentuation Technique (CAT), which is a method designed to improve composite sketch generation and enhance facial feature visibility in sketches. The proposed works in four key steps namely Grayscaling, Blending, Contrast Correction and Edge Enhancement. Also, the technique removes color information, helping the system focus on intensity variations by sharpening the edges and reducing noise. It also improves contrast thereby enhancing the visibility of facial contours by adjusting intensity levels. Experimental results show significant improvements: the NIQE score decreased from 3.39 to 2.76, SSIM increased from 0.82 to 0.88, and Absolute Error (AE) dropped from 89.26 to 71.41, confirming the effectiveness of CAT in improving sketch clarity and quality.
Computer Vision System for Real-Time Nasal-Jaw Distance Measurement in Dental Applications
Jason Elroy Martis, Sannidhan M S, Vignesh N Salian, V K Ronith, Ishwar Pavan
Proceedings of 10th International Conference on Communication and Electronics Systems Icces 2025, 2025
Improving acne severity detection: a GAN framework with contour accentuation for image deblurring
Philomina Princiya Mascarenhas, M. S. Sannidhan, Ancilla J. Pinto, Dabis Camero, Jason Elroy Martis
Frontiers in Bioinformatics, 2025
Teledermatology, a growing field of telemedicine, is widely used to diagnose skin conditions like acne, especially in young adults. Accurate diagnosis depends on clear images, but blurring is a common issue in most images. In particular, for acne images, it obscures acne spots and facial contours, leading to inaccurate diagnosis. Traditional methods to address blurring fail to recover fine details, making them unsuitable for teledermatology. To resolve this issue, the study proposes a framework based on generative networks. It comprises three main steps: the Contour Accentuation Technique, which outlines facial features to create a blurred sketch; a deblurring module, which enhances the sketch’s clarity; and an image translator, which converts the refined sketch into a color photo that effectively highlights acne spots. Tested on Acne Recognition Dataset, the framework achieved an SSIM of 0.83, a PSNR of 22.35 dB, and an FID score of 10.77, demonstrating its ability to produce clear images for accurate acne diagnosis. Further, the details of research can be found on the project homepage at: https://github.com/Princiya1990/CATDeblurring.
OPTIMIZATION OF HEALTHCARE SERVICE DELIVERY USING DEEP GENETIC ALGORITHM
GIRIMURUGAN B, Ashvin T.K, Hemalatha T, Riyaz Hussain Sk, Sannidhan M S, UMAYA SALMA Salma
Informing Science, 2025
Aim/Purpose: The main goal of this work is a new framework that combines genetic algorithms with deep learning. The delivery of healthcare services will be optimized as the aim of this research. Background: Optimizing the provision of healthcare services is essential to ensuring that patients get suitable and timely treatments and materials. Methodology: This work presents a new framework for DGA-based healthcare service delivery optimization by the application of this methodology. The procedure consists of two stages: training a deep neural network to assess the feasibility of possible solutions and encoding the problem space into a format appropriate for genetic operations. The neural network evaluations are used as the guiding principle as the genetic algorithm iteratively creates a population of solutions by selection, crossover, and mutation. Contribution: The main contribution of this work is the solution of the optimization issues related to the provision of healthcare services by combining deep learning and genetic algorithms. Ultimately, we want to improve patient outcomes and resource use by leveraging the potential of DGAs to improve the efficacy and efficiency of healthcare systems. Findings: The results of laboratory experiments show that the proposed approach is successful in optimizing the provision of healthcare services. The proposed DGAs enable more high-quality solutions than conventional optimization methods. Recommendation for Researchers: This work presents a novel framework that uses deep genetic algorithms (DGAs) to effectively optimize the provision of healthcare services and address these issues. Future Research: This work can be enhanced using several deep-learning algorithms to achieve better accuracy and performance.
Retraction Note: Performance enhancement of generative adversarial network for photograph–sketch identification (Soft Computing, (2023), 27, 1, (435-452), 10.1007/s00500-021-05700-w)
M. S. Sannidhan, G. Ananth Prabhu, K. M. Chaitra, Jnyana Ranjan Mohanty
Soft Computing, 2024
Genetic algorithms and deep learning for unique facial landmark-based key generation
MS Sannidhan, Jason Elroy Martis, KN Pallavi, Vinayakumar Ravi, HL Gururaj, Tahani Jaser Alahmadi
Computers and Electrical Engineering, 2024
Novel Hybrid Quantum Architecture-Based Lung Cancer Detection Using Chest Radiograph and Computerized Tomography Images
Jason Elroy Martis, Sannidhan M S, Balasubramani R, A. M. Mutawa, M. Murugappan
Bioengineering, 2024
A swarm-optimized microbial colony counter
Sannidhan M S, Jason Elroy Martis, Senka Krivic, Sudeepa K B, Pradeep Nazareth
Expert Systems, 2024
Precision sketching with de-aging networks in forensics
Jason Elroy Martis, M. S. Sannidhan, N. Pratheeksha Hegde, L. Sadananda
Frontiers in Signal Processing, 2024
Exploring Machine Learning and Deep Learning Models for Effective Sentiment Analysis on Twitter
Pratheeksha Hegde N, Jason Elroy Martis, Sannidhan M S, Pratheeksha S, Rashmitha R Bangera
Proceedings of the 9th International Conference on Communication and Electronics Systems Icces 2024, 2024
Enhancing Automotive Safety through Advanced Human Action Recognition Techniques
Ceur Workshop Proceedings, 2024
Lightweight Cryptographic Authentication Using Facial Landmarks and LFSR for IoT Security
Sannidhan M S, Jason Elroy Martis, Pratheeksha Hegde N, Chaya Ballal, Deekshith
Cosmic 2024 IEEE International Conference on Computing Semiconductor Mechatronics Intelligent Systems and Communications Proceedings, 2024
Deep Learning Based Covid-19 Diagnosis and Severity Assessment Using Computed Tomography Imaging
Namratha S, Hitha K, Gahana Shetty, Fathima Thaskeen, Sannidhan M S, Jason Elroy Martis
2nd IEEE International Conference on Integrated Intelligence and Communication Systems Iciics 2024, 2024
Detection of physiological body movements in affective disorder patients using eeg signals and deep neural networks
Jason Elroy Martis, M S Sannidhan, Sunil Kumar Aithal, R Balasubramani, K B Sudeepa
Affective Computing in Healthcare Applications Based on Biosignals and Artificial Intelligence, 2023
Handwritten Kannada Character Recognition Using Convolutional Neural Networks and Transfer Learning
S B Madhu, C V Aravinda, M S Sannidhan
Journal of Physics Conference Series, 2023
A Deep Neural Network-Based Biometric Random Key Generator for Security Enhancement
Cyber Security Using Modern Technologies Artificial Intelligence Blockchain and Quantum Cryptography, 2023
Performance enhancement of generative adversarial network for photograph–sketch identification
M. S. Sannidhan, G. Ananth Prabhu, K. M. Chaitra, Jnyana Ranjan Mohanty
Soft Computing, 2023
Correction of an Image for Colour Blindness Using the Fusion of Ishihara Filter and Histogram Equalization
M. S. Sannidhan, Jason Elroy Martis, C. V. Aravinda, Roheet Bhatnagar
Lecture Notes on Data Engineering and Communications Technologies, 2023
Predicting Citrus Limon Maturity with Precision Using Transfer Learning
Sannidhan M S, Jason Elroy Martis, Suhas M.V, Sunil Kumar Aithal S
2023 International Conference on Recent Advances in Information Technology for Sustainable Development Icrais 2023 Proceedings, 2023
Automated Exposure of Colorimetric Fluctuations in Aspergillus Flavus to Permit Feasible Extraction of Antibiotics
Pradeep Nazareth, Sannidhan M S, Jason Elroy Martis, Pratheeksha Hegde N
2023 IEEE International Conference on Distributed Computing VLSI Electrical Circuits and Robotics Discover 2023, 2023
A Novel Skin and Mole Pattern Identification Using Deep Residual Pooling Network (DRPN)
Rohan Don Salins, G. Ananth Prabhu, Jason Elroy Martis, R Salins, T Ashwin, et al.
International Journal of Intelligent Engineering and Systems, 2023
Text-to-Sketch Synthesis via Adversarial Network
Jason Elroy Martis, Sannidhan Manjaya Shetty, Manas Ranjan Pradhan, Usha Desai, Biswaranjan Acharya
Computers Materials and Continua, 2023
Comparing Different Deep Learning Models with a Novel Model for COVID-19 and Pneumonia Classification Using Chest X-Ray Images
C. V. Aravinda, M. S. Sannidhan, Jyothi Shetty, Shabari Shedthi, Roheet Bhatnagar
Lecture Notes on Data Engineering and Communications Technologies, 2023
Detection of Antibiotic Constituent in Aspergillus flavus Using Quantum Convolutional Neural Network
Sannidhan M. S., Jason Elroy Martis, Ramesh Sunder Nayak, Sunil Kumar Aithal, Sudeepa K. B.
International Journal of E Health and Medical Communications, 2023
Application of Active Learning Technique with CNN for the Classification of Microscopic Breast Cancer Images
N. Pratheeksha Hegde, Jason Elory Martis, M. S. Sannidhan, C. V. Aravinda, Roheet Bhatnagar
Smart Innovation Systems and Technologies, 2023
Detection and classification of peripheral plasmodium parasites in blood smears using filters and machine learning algorithms
Ceur Workshop Proceedings, 2023
Genetic Algorithm-Based Pseudo Random Number Generation for Cloud Security
Sudeepa Keregadde Balakrishna, Sannidhan Manjaya Shetty, Jason Elroy Martis, Balasubramani Ramasamy
Internet of Things, 2022
Recognition of Hand Gestures and signals from Depth silhouettes by Dynamic Time Warping
Jason Elroy Martis, Sannidhan M S, Chaitra.K.M, Pradeep Kumar
Proceedings 6th International Conference on Computing Methodologies and Communication Iccmc 2022, 2022
Retrieval of Facial Sketches Using Linguistic Descriptors: An Approach Based on Hierarchical Classification of Facial Attributes
S. Pallavi, M. S. Sannidhan, Abhir Bhandary
Advances in Intelligent Systems and Computing, 2021
A Farmer-Friendly Connected IoT Platform for Predicting Crop Suitability Based on Farmland Assessment
Jason Elroy Martis, M. S. Sannidhan, K. B. Sudeepa
Studies in Big Data, 2021
A Rapid Automated Process for Organizing Bacterial Cluster Segments Using Deep Neural Networks
Jason Elroy Martis, K B Sudeepa, M S Sannidhan, Abhir Bhandary
Proceedings of the 3rd International Conference on Smart Systems and Inventive Technology Icssit 2020, 2020
A novel key generation approach based on facial image features for stream cipher system
M S Sannidhan, K B Sudeepa, Jason E Martis, Abhir Bhandary
Proceedings of the 3rd International Conference on Smart Systems and Inventive Technology Icssit 2020, 2020
Generic IoT Platform for Analytics in Agriculture
Balasubramani Pradeep, R. Balasubramani, Jason Elroy Martis, M. S. Sannidhan
Studies in Big Data, 2020
Evaluating the performance of face sketch generation using generative adversarial networks
M.S. Sannidhan, G. Ananth Prabhu, David E. Robbins, Charles Shasky
Pattern Recognition Letters, 2019
Assessment of Image Enhancement Procedures for Matching Sketches to Photos
M S Sannidhan, K M Chaitra, Ananth Prabhu G
2019 IEEE International Conference on Distributed Computing VLSI Electrical Circuits and Robotics Discover 2019 Proceedings, 2019
A study on various state of the art of the art face recognition system using deep learning techniques
NMAMIT, India, Sukhada Chokkadi
International Journal of Advanced Trends in Computer Science and Engineering, 2019
Lemon Maturity Estimator: An Approach Using Color Image Processing Techniques
Sunil Kumar Aithal S, Sannidhan M S, Abhir Bhandary
3rd International Conference on Electrical Electronics Communication Computer Technologies and Optimization Techniques Iceeccot 2018, 2018
A Novel Approach for Generating Composite Sketches from Mugshot Photographs
S. Pallavi, M.S. Sannidhan, K.B. Sudeepa, Abhir Bhandary
2018 International Conference on Advances in Computing Communications and Informatics Icacci 2018, 2018
A Cost Effective Approach for Detecting Electricity Theft using Raspberry Pi Board
Sannidhan M.S., Sunil Kumar Aithal S., Jason Elroy Martis, Abhir Bhandary
International Conference on Current Trends in Computer Electrical Electronics and Communication Ctceec 2017, 2018
A comprehensive review on various state-of-the-art techniques for image enhancement
International Journal of Engineering and Technology Uae, 2018
A comparative analysis of quality metrics between different image enhancement techniques for facial sketches
International Journal of Engineering and Technology Uae, 2018
A novel approach for matching composite sketches to mugshot photos using the fusion of SIFT and SURF feature descriptor
R. Kokila, M S Sannidhan, Abhir Bhandary
2017 International Conference on Advances in Computing Communications and Informatics Icacci 2017, 2017
A study and analysis of various techniques to match sketches to Mugshot photos
R. Kokila, M. S. Sannidhan, Abhir Bhandary
Proceedings of the International Conference on Inventive Communication and Computational Technologies Icicct 2017, 2017
Maximum period word oriented non-binary key sequence generation and its application in image encryption/decryption
K B Sudeepa, K Raju, M S Sannidhan, Abhir Bhandary
Proceedings of IEEE International Conference on Emerging Technological Trends in Computing Communications and Electrical Engineering Icett 2016, 2017
DANE: An inbuilt security extension
C. Aishwarya, Raghuram M A, Sachin Hosmani, M.S. Sannidhan, Balaji Rajendran, K. Chandrasekaran, B.S. Bindhumadhava
Proceedings of the 2015 International Conference on Green Computing and Internet of Things Icgciot 2015, 2016
DNS Security: Need and Role in the Context of Cloud Computing
C. Aishwarya, M.S. Sannidhan, Balaji Rajendran
Proceedings 2014 3rd International Conference on Eco Friendly Computing and Communication Systems ICECCS 2014, 2014

RECENT SCHOLAR PUBLICATIONS

A Comparative Study of Deep Learning Models for Photo-to-Sketch Recognition with CAT Preprocessing
PP Mascarenhas, MS Sannidhan, A Mathias, D Camero, JE Martis
2026 5th International Conference on Communication, Computing and … , 2026
2026
Evaluating Performance of LG-CycleGAN for Photo-Sketch Generation
N Chatra, MS Sannidhan, JE Martis, P Nazareth
2025 International Conference on Intelligent Systems and Pioneering … , 2025
2025
An Approach For The Enhancement Of Facial Images Captured Under Low Light
A Salian, MS Sannidhan, JE Martis
2025 IEEE International Conference on Intelligent Signal Processing and … , 2025
2025
Computer Vision System for Real-Time Nasal-Jaw Distance Measurement in Dental Applications
JE Martis, MS Sannidhan, VN Salian, VK Ronith, I Pavan
2025 10th International Conference on Communication and Electronics Systems … , 2025
2025
Empowering Sustainable Agriculture Through IoT and Multimodal Recommendation Systems: A Deep Learning Approach
JE Martis, MS Sannidhan, CV Aravinda
Internet of Things and Analytics for Agriculture, Volume 4, 73-100 , 2025
2025
Photo-to-Sketch Transformation using Contour Accentuation for High-Quality Outputs
PP Mascarenhas, MS Sannidhan, N Niveditha, D Camero, JE Martis
2025 3rd International Conference on Self Sustainable Artificial … , 2025
2025
Citations: 2
Improving acne severity detection: a GAN framework with contour accentuation for image deblurring
PP Mascarenhas, MS Sannidhan, AJ Pinto, D Camero, JE Martis
Frontiers in Bioinformatics 5, 1485797 , 2025
2025
Citations: 4
Optimization of healthcare service delivery using deep genetic algorithm
B Girimurugan, TK Ashvin, T Hemalatha, RH Sk, MS Sannidhan, ...
Informing Science 28, 3 , 2025
2025
Citations: 1
Exploring Machine Learning and Deep Learning Models for Effective Sentiment Analysis on Twitter
P Hegde, JE Martis, RR Bangera
2024 9th International Conference on Communication and Electronics Systems … , 2024
2024
Lightweight Cryptographic Authentication Using Facial Landmarks and LFSR for IoT Security
MS Sannidhan, JE Martis, P Hegde, C Ballal
2024 International Conference on Computing, Semiconductor, Mechatronics … , 2024
2024
Deep Learning Based Covid-19 Diagnosis and Severity Assessment Using Computed Tomography Imaging
S Namratha, K Hitha, MS Sannidhan
2024 International Conference on Integrated Intelligence and Communication … , 2024
2024
Genetic algorithms and deep learning for unique facial landmark-based key generation
MS Sannidhan, JE Martis, KN Pallavi, V Ravi, HL Gururaj, TJ Alahmadi
Computers and Electrical Engineering 118, 109427 , 2024
2024
Citations: 3
Novel hybrid quantum architecture-based lung cancer detection using chest radiograph and computerized tomography images
JE Martis, S MS, B R, AM Mutawa, M Murugappan
Bioengineering 11 (8), 799 , 2024
2024
Citations: 30
Precision sketching with de-aging networks in forensics
JE Martis, MS Sannidhan, N Pratheeksha Hegde, L Sadananda
Frontiers in Signal Processing 4, 1355573 , 2024
2024
Citations: 8
A swarm‐optimized microbial colony counter
S MS, JE Martis, S Krivic, S KB, P Nazareth
Expert Systems 41 (3), e13510 , 2024
2024
Citations: 2
Enhancing Automotive Safety through Advanced Human Action Recognition Techniques.
CV Aravinda, MS Sannidhan, S Aswath, J Shetty, BC Arjun
ATAIT, 13-24 , 2024
2024
Application of Active Learning Technique with CNN for the Classification of Microscopic Breast Cancer Images
N Pratheeksha Hegde, JE Martis, MS Sannidhan, CV Aravinda, ...
International Conference on Business Intelligence and Information Technology … , 2023
2023
Predicting Citrus Limon Maturity with Precision Using Transfer Learning
MS Sannidhan, JE Martis, MV Suhas
2023 International Conference on Recent Advances in Information Technology … , 2023
2023
Citations: 4
Automated Exposure of Colorimetric Fluctuations in Aspergillus Flavus to Permit Feasible Extraction of Antibiotics
P Nazareth, MS Sannidhan, JE Martis, P Hegde
2023 IEEE International Conference on Distributed Computing, VLSI … , 2023
2023
Handwritten Kannada character recognition using convolutional neural networks and transfer learning
SB Madhu, CV Aravinda, MS Sannidhan
Journal of Physics: Conference Series 2571 (1), 012012 , 2023
2023
Citations: 4

MOST CITED SCHOLAR PUBLICATIONS

Detection of antibiotic constituent in aspergillus flavus using quantum convolutional neural network
MS Sannidhan, JE Martis, RS Nayak, SK Aithal, KB Sudeepa
International Journal of E-Health and Medical Communications (IJEHMC) 14 (1 … , 2023
2023
Citations: 68
A Study on various state of the art of the Art Face Recognition System using Deep Learning Techniques
S Chokkadi, MS Sannidhan, KB Sudeepa, A Bhandary
International Journal of Advanced Trends in Computer Science and Engineering … , 2019
2019
Citations: 46
Evaluating the performance of face sketch generation using generative adversarial networks
MS Sannidhan, GA Prabhu, DE Robbins, C Shasky
Pattern Recognition Letters 128, 452-458 , 2019
2019
Citations: 37
Novel hybrid quantum architecture-based lung cancer detection using chest radiograph and computerized tomography images
JE Martis, S MS, B R, AM Mutawa, M Murugappan
Bioengineering 11 (8), 799 , 2024
2024
Citations: 30
A novel approach for matching composite sketches to mugshot photos using the fusion of SIFT and SURF feature descriptor
R Kokila, MS Sannidhan, A Bhandary
2017 international conference on advances in computing, communications and … , 2017
2017
Citations: 28
RETRACTED ARTICLE: Performance enhancement of generative adversarial network for photograph–sketch identification
MS Sannidhan, GA Prabhu, KM Chaitra, JR Mohanty
Soft Computing 27 (1), 435-452 , 2023
2023
Citations: 20
Car damage assessment recommendation system using neural networks
JE Martis, MS Sannidhan, CV Aravinda, R Balasubramani
Materials Today: Proceedings 92, 24-31 , 2023
2023
Citations: 18
A novel approach for generating composite sketches from mugshot photographs
S Pallavi, MS Sannidhan, KB Sudeepa, A Bhandary
2018 international conference on advances in computing, communications and … , 2018
2018
Citations: 14
A study and analysis of various techniques to match sketches to Mugshot photos
R Kokila, MS Sannidhan, A Bhandary
2017 international conference on inventive communication and computational … , 2017
2017
Citations: 14
A rapid automated process for organizing bacterial cluster segments using deep neural networks
JE Martis, KB Sudeepa, MS Sannidhan, A Bhandary
2020 Third International Conference on Smart Systems and Inventive … , 2020
2020
Citations: 11
A cost effective approach for detecting electricity theft using raspberry pi board
MS Sannidhan, JE Martis, A Bhandary
2017 International Conference on Current Trends in Computer, Electrical … , 2017
2017
Citations: 11
DANE: An inbuilt security extension
C Aishwarya, MA Raghuram, S Hosmani, MS Sannidhan, B Rajendran, ...
2015 International Conference on Green Computing and Internet of Things … , 2015
2015
Citations: 10
Precision sketching with de-aging networks in forensics
JE Martis, MS Sannidhan, N Pratheeksha Hegde, L Sadananda
Frontiers in Signal Processing 4, 1355573 , 2024
2024
Citations: 8
Lemon Maturity estimator: an approach using color image processing techniques
MS Sannidhan, A Bhandary
2018 international conference on electrical, electronics, communication … , 2018
2018
Citations: 8
A farmer-friendly connected IoT platform for predicting crop suitability based on farmland assessment
JE Martis, MS Sannidhan, KB Sudeepa
Internet of Things and Analytics for Agriculture, Volume 3, 247-272 , 2021
2021
Citations: 7
Retrieval of facial sketches using linguistic descriptors: an approach based on hierarchical classification of facial attributes
S Pallavi, MS Sannidhan, A Bhandary
International Conference on Artificial Intelligence and Data Engineering … , 2019
2019
Citations: 7
Text-to-sketch synthesis via adversarial network
J Martis, S Shetty, M Pradhan, U Desai, B Acharya
Computers, Materials, & Continua 76 (1), 915 , 2023
2023
Citations: 6
A novel key generation approach based on facial image features for stream cipher system
MS Sannidhan, KB Sudeepa, JE Martis, A Bhandary
2020 third international conference on smart systems and inventive … , 2020
2020
Citations: 6
Generic IoT platform for analytics in agriculture
B Pradeep, R Balasubramani, JE Martis, MS Sannidhan
Internet of Things and Analytics for Agriculture, Volume 2, 225-248 , 2019
2019
Citations: 6
Assessment of image enhancement procedures for matching sketches to photos
MS Sannidhan, KM Chaitra
2019 IEEE International Conference on Distributed Computing, VLSI … , 2019
2019
Citations: 6

Sannidhan M S

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Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS