RAPAKA SATISH

@sircrrengg.ac.in

Associate Professor, Electronics and Communication Engineering
Sir C R Reddy College of Engineering

RAPAKA SATISH


                        Download Compact PDF  
https://researchid.co/rsatishus
I am working as Associate Professor in the Department of Electronics and Communication Engineering at Sir C R Reddy College of Engineering. It’s a great privilege for me to work in this college. Completed B.E from GITAM College of Engineering in the year 2002, M.E from Andhra University in the year 2005 and Ph.D from Andhra University in the year 2019. Published more than 20 papers in international journals which include IET, IEEE, Sprinter etc.

RESEARCH, TEACHING, or OTHER INTERESTS

Engineering
6

Scopus Publications

83

Scholar Citations

4

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • A new segmentation method for non-ideal iris images using morphological reconstruction FCM based on improved DSA
    Satish Rapaka, P. Rajesh Kumar, Miranji Katta, K. Lakshminarayana, N. Bhupesh Kumar
    SN Applied Sciences, 2021
    In any accurate iris recognition system segmentation of iris plays a vital role. The noise, specular reflections, eyelid/eyelash obstruction, and intensity inhomogeneities in an image make the segmentation more difficult. In this paper, a novel technique is proposed to segment the iris from images that are taken under uncooperative image conditions. The proposed method segments the image in two stages. Firstly, Morphological reconstruction fuzzy c-means clustering (MRFCM) based on an improved differential search algorithm is implemented before the segmentation step. The MRFCM can preserve image contours even in the presence of noise. Secondly, the iris is isolated from the undesired regions of an eye image by implementing geodesic active contours driven by a modified stopping criterion on the resultant images of the pre-segmentation step. The accuracy of the method presented has been tested on the databases such as CASIAv3-Interval, UBIRISv1, MMU1, IITDv1, and MICHE-I. The segmentation accuracy has been demonstrated and compared with other existing methods present in the literature. The obtained results are promising and the proposed model is outperformed the existing methods.
  • Efficient method for segmentation of noisy and non-circular iris images using improved particle swarm optimisation-based MRFCM
    Rapaka Satish, P. Rajesh Kumar
    Iet Biometrics, 2020
    Segmentation of the iris is a crucial stage in an automated iris-based recognition system. The performance of any biometric system primarily relies on how effectively the iris is extracted from the unwanted parts of an iris image. The process of iris segmentation is mainly affected by the noise artefacts such as eyelid/eyelashes occlusions, specular reflections, intensity inhomogeneities, and non-circularity of the iris boundary. A novel and an efficient method has been proposed in this work to segment noisy and non-circular iris boundaries. The mathematical modelling of morphological reconstruct fuzzy C-means clustering (MRFCM) has been presented. The MRFCM based on improved particle swarm optimisation has been implemented before the segmentation in the recognition framework. The resultant images are then segmented by employing geodesic active contours incorporated by a new stopping function. The effect of the proposed segmentation method on iris recognition is observed through matching score distribution. The popular and publicly available datasets such as UBIRISv1, CASIA-v3-Interval, MMU1, and Mobile Iris Challenge Evaluation databases are considered for the evaluation of the proposed method. Recognition accuracy is validated and compared with the well-existing methods.
  • A Preliminary Review on Novel Coronavirus Disease: COVID-19
    Miranji Katta, Satish Rapaka, Ramkumar Adireddi, Jagadeeshwara Rao Emandi
    Coronaviruses, 2020
    Coronaviruses (CoV) are a large group of viruses that can cause health disorders ranging from the usual cold to most severe diseases like Middle East Respiratory Syndrome (MERS-CoV) and Severe Acute Respiratory Syndrome (SARS-CoV). These viruses are generally found among animals. In atypical circumstances, these viruses can propagate to humans from animals. The spikes protruding from the membrane of the virus look like the sun's corona, hence the name ‘coronavirus’ has been given. Coronaviruses (CoV) belong to the species of Corona with a high mutation rate than the Coronaviridae. The objective of this review article was to investigate good strategies of treatment and preliminary analysis concerning the disease, and prevention in the early stage of the COVID-19 outbreak.
  • An efficient method for segmentation of noisy and non-circular iris images using optimal multilevel thresholding
    Journal of Advanced Research in Dynamical and Control Systems, 2019
  • Efficient approach for non-ideal iris segmentation using improved particle swarm optimisation-based multilevel thresholding and geodesic active contours
    Satish Rapaka, Pullakura Rajesh Kumar
    Iet Image Processing, 2018
    Segmentation is an important step in iris recognition framework because the accuracy of the iris recognition system is affected by the segmentation of the iris. The image acquisition introduces noise artefacts such as specular reflections, eyelids/eyelashes occlusions and overlapping intensities, which makes the segmentation process difficult. An efficient method has been proposed for the segmentation of iris images that deal with non-circular iris boundaries and other noise artefacts mentioned above. The proposed method uses the Otsu multilevel thresholding based on improved particle swarm optimisation technique as a pre-segmentation step. Pre-segmentation step delimits the iris region from the other parts of an eye image. The geodesic active contours incorporated with a novel stopping function is then used to segment non-circular iris boundaries. The recognition accuracy of the proposed method is verified using the standard databases, CASIA v3 Interval and UBIRISv1. Obtained results have been compared with existing methods and have an encouraging performance.
  • Towards segmentation of non-ideal iris images using optimization based multilevel thresholding
    Satish Rapaka, Rajesh Kumar Pullakura
    Proceedings of the 3rd International Conference on Communication and Electronics Systems Icces 2018, 2018
    Segmentation/localization of iris from an image is a vital process in an iris authentication system because it affects the authentication accuracy. Segmenting iris images captured under uncooperative conditions is an even more difficult task because of the noise artifacts like occlusions, overlapping intensities, and specular reflections. In this work, a pre-segmentation step using PSO and DS algorithm based multilevel Otsu thresholding has been proposed to improve the segmentation accuracy. The pre-segmentation process isolates the iris from unwanted regions of the image. The resultant images of a pre-segmentation step are then segmented by employing geodesic active contours (GAC) incorporated by a novel stopping function. The proposed method accuracy is evaluated by considering standard databases such as CASIA v3 Interval, UBIRISv1, and MMU1.

RECENT SCHOLAR PUBLICATIONS

  • Reinforcement Learning for Dynamic Security Policy Enforcement in Communication Networks
    MB Konda Raju
    Cuestiones de Fisioterapia 54 (4), 1304-1311 , 2025
    2025.0
    Citations: 2
  • Comprehensive and Comparative Framework for Lung Cancer Detection Using CNN
    S R, N L, P Kumar, et. al.
    International Journal of Scientific Research in Engineering and Management 8 … , 2024
    2024.0
  • LEVEL SET METHOD-BASED IMAGE SEGMENTATION AND DEEP LEARNING TECHNIQUES
    CV Rapaka Satish
    Industrial Engineering Journal 52 (4), 1961-1969 , 2023
    2023.0
  • SMART FARMING USING IMAGE PROCESSING AND MACHINE LEARNING
    VG Rapaka Satish
    Industrial Engineering Journal 52 (4), 1952-1960 , 2023
    2023.0
  • An efficient electricity management system using IoT-enabled E-life devices
    M Katta, R Satish, K Yamini, R Sandanalakshmi
    i-Manager's Journal on Embedded Systems 11 (2), 21-27 , 2023
    2023.0
    Citations: 2
  • A new segmentation method for non-ideal iris images using morphological reconstruction FCM based on improved DSA
    S Rapaka, P Rajesh Kumar, M Katta, K Lakshminarayana, ...
    SN Applied Sciences 3 (1), 53 , 2021
    2021.0
    Citations: 16
  • Efficient method for segmentation of noisy and non-circular iris images using improved particle swarm optimisation-based MRFCM
    R Satish, PR Kumar
    IET Biometrics 9 (2), 78-90 , 2020
    2020.0
    Citations: 8
  • A Preliminary Review on Novel Coronavirus Disease: COVID-19
    K Miranji, R Satish, A Ramkumar, E Jagadeeshwara Rao
    Coronaviruses 1 (1), 90-97 , 2020
    2020.0
    Citations: 9
  • An Efficient Method for Segmentation of Noisy and Non-circular Iris Images Using Optimal Multilevel Thresholding
    R Satish, PR Kumar, R M, YBNV Bhaskar
    Journal of Advanced Research in Dynamical and Control Systems 11 (2), 1010-1023 , 2019
    2019.0
  • State-of-the-art iris segmentation methods: A Survey
    R Satish, PR Kumar
    International Journal of Computer Sciences and Engineering 6 (11), 739-748 , 2018
    2018.0
    Citations: 4
  • Efficient approach for non‐ideal iris segmentation using improved particle swarm optimisation‐based multilevel thresholding and geodesic active contours
    S Rapaka, PR Kumar
    IET Image Processing 12 (10), 1721-1729 , 2018
    2018.0
    Citations: 32
  • Towards segmentation of non-ideal iris images using optimization based multilevel thresholding
    R Satish, PR Kumar
    Proceedings of the International Conference on Communication and Electronics … , 2018
    2018.0
    Citations: 3
  • A New Approach for Non-Ideal Iris Segmentation Using Fuzzy C-Means Clustering Based on Particle Swarm Optimization
    R Satish, P Rajeshkumar, M Jeevan
    Asian Journal of Engineering and Applied Technology 7 (2), 42-45 , 2018
    2018.0
    Citations: 4
  • A Novel Decomposition Framework For Gray Scale Image Denoising Algorithms
    APK Rapaka Satish
    International Journal of Research 4 (14), 149-153 , 2017
    2017.0
  • IRIS Recognition System Using Geodesic Active Contours for Non-Ideal IRIS Images
    R Satish, PR Kumar, P Inteti
    international journal of engineering research in electronics and … , 2015
    2015.0
    Citations: 1
  • A NEW IMAGE FORGERY DETECTION FRAMEWORK BASED ON UNDECIMATED DYADIC WAVELET TRANSFORM TECHNIQUE
    RS S. Sunitha
    INTERNATIONAL JOURNAL OF PROFESSIONAL ENGINEERING STUDIES 3 (1), 156-160 , 2014
    2014.0
  • Estimation of Direction of Arrival Algorithms for Adaptive Array Smart Antenna in Wireless Communication
    DMSGP K.N.Srinivasa Kumar , R.Satish
    international journal of engineering trends and technology 14 (5), 245-248 , 2014
    2014.0
    Citations: 2
  • The Evaluation Of The Performance Of Space–Time Block Codes In Wireless Communications
    RS Dindigala Pallav Kumar
    international journal of computer and organization trends 3 (10), 457-462 , 2013
    2013.0
  • Communication Module for POS Terminal in Power Marketing
    G Praveena, R Satish

MOST CITED SCHOLAR PUBLICATIONS

  • Efficient approach for non‐ideal iris segmentation using improved particle swarm optimisation‐based multilevel thresholding and geodesic active contours
    S Rapaka, PR Kumar
    IET Image Processing 12 (10), 1721-1729 , 2018
    2018.0
    Citations: 32
  • A new segmentation method for non-ideal iris images using morphological reconstruction FCM based on improved DSA
    S Rapaka, P Rajesh Kumar, M Katta, K Lakshminarayana, ...
    SN Applied Sciences 3 (1), 53 , 2021
    2021.0
    Citations: 16
  • A Preliminary Review on Novel Coronavirus Disease: COVID-19
    K Miranji, R Satish, A Ramkumar, E Jagadeeshwara Rao
    Coronaviruses 1 (1), 90-97 , 2020
    2020.0
    Citations: 9
  • Efficient method for segmentation of noisy and non-circular iris images using improved particle swarm optimisation-based MRFCM
    R Satish, PR Kumar
    IET Biometrics 9 (2), 78-90 , 2020
    2020.0
    Citations: 8
  • State-of-the-art iris segmentation methods: A Survey
    R Satish, PR Kumar
    International Journal of Computer Sciences and Engineering 6 (11), 739-748 , 2018
    2018.0
    Citations: 4
  • A New Approach for Non-Ideal Iris Segmentation Using Fuzzy C-Means Clustering Based on Particle Swarm Optimization
    R Satish, P Rajeshkumar, M Jeevan
    Asian Journal of Engineering and Applied Technology 7 (2), 42-45 , 2018
    2018.0
    Citations: 4
  • Towards segmentation of non-ideal iris images using optimization based multilevel thresholding
    R Satish, PR Kumar
    Proceedings of the International Conference on Communication and Electronics … , 2018
    2018.0
    Citations: 3
  • Reinforcement Learning for Dynamic Security Policy Enforcement in Communication Networks
    MB Konda Raju
    Cuestiones de Fisioterapia 54 (4), 1304-1311 , 2025
    2025.0
    Citations: 2
  • An efficient electricity management system using IoT-enabled E-life devices
    M Katta, R Satish, K Yamini, R Sandanalakshmi
    i-Manager's Journal on Embedded Systems 11 (2), 21-27 , 2023
    2023.0
    Citations: 2
  • Estimation of Direction of Arrival Algorithms for Adaptive Array Smart Antenna in Wireless Communication
    DMSGP K.N.Srinivasa Kumar , R.Satish
    international journal of engineering trends and technology 14 (5), 245-248 , 2014
    2014.0
    Citations: 2
  • IRIS Recognition System Using Geodesic Active Contours for Non-Ideal IRIS Images
    R Satish, PR Kumar, P Inteti
    international journal of engineering research in electronics and … , 2015
    2015.0
    Citations: 1
  • Comprehensive and Comparative Framework for Lung Cancer Detection Using CNN
    S R, N L, P Kumar, et. al.
    International Journal of Scientific Research in Engineering and Management 8 … , 2024
    2024.0
  • LEVEL SET METHOD-BASED IMAGE SEGMENTATION AND DEEP LEARNING TECHNIQUES
    CV Rapaka Satish
    Industrial Engineering Journal 52 (4), 1961-1969 , 2023
    2023.0
  • SMART FARMING USING IMAGE PROCESSING AND MACHINE LEARNING
    VG Rapaka Satish
    Industrial Engineering Journal 52 (4), 1952-1960 , 2023
    2023.0
  • An Efficient Method for Segmentation of Noisy and Non-circular Iris Images Using Optimal Multilevel Thresholding
    R Satish, PR Kumar, R M, YBNV Bhaskar
    Journal of Advanced Research in Dynamical and Control Systems 11 (2), 1010-1023 , 2019
    2019.0
  • A Novel Decomposition Framework For Gray Scale Image Denoising Algorithms
    APK Rapaka Satish
    International Journal of Research 4 (14), 149-153 , 2017
    2017.0
  • A NEW IMAGE FORGERY DETECTION FRAMEWORK BASED ON UNDECIMATED DYADIC WAVELET TRANSFORM TECHNIQUE
    RS S. Sunitha
    INTERNATIONAL JOURNAL OF PROFESSIONAL ENGINEERING STUDIES 3 (1), 156-160 , 2014
    2014.0
  • The Evaluation Of The Performance Of Space–Time Block Codes In Wireless Communications
    RS Dindigala Pallav Kumar
    international journal of computer and organization trends 3 (10), 457-462 , 2013
    2013.0
  • Communication Module for POS Terminal in Power Marketing
    G Praveena, R Satish