Dr. M K VENKATESHA

@rnsit.ac.in

Principal
R. N. Shetty Institute of Technology (RNSIT)

21

Scopus Publications

655

Scholar Citations

14

Scholar h-index

16

Scholar i10-index

Scopus Publications

  • SEOA DRN: Social Exponential Optimization Algorithm Based Deep Residual Network for Visual Speech Recognition
    Srikanth G N, Venkatesha M K
    Ssrg International Journal of Electrical and Electronics Engineering, 2023
  • Artificial Neural Network Approach for Multimodal Biometric Authentication System
    M. J. Sudhamani, Ipsita Sanyal, M. K. Venkatesha
    Lecture Notes on Data Engineering and Communications Technologies, 2022
  • Fusion of iris texture with finger vein geometry for authentication
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • Feature level fusion of iris and finger vein biometrics for multimodal biometric authentication system
    International Journal of Recent Technology and Engineering, 2019
  • Real time detection and tracking of mouth region of single human face
    C. Anitha, M.K. Venkatesha, B. Suryanarayana Adiga
    Proceedings Aims 2015 3rd International Conference on Artificial Intelligence Modelling and Simulation, 2016
    For any real-time application, detection and tracking of features becomes very important. The detection and tracking algorithms have to be very robust and efficient with least or zero false positives and false negatives. We use a novel combination for detection and tracking purpose. In this paper we propose a robust mouth region extraction and tracking algorithm that works in real-time. The region of interest for our application requires the face and mouth regions. We propose a novel technique for extracting the mouth region automatically. The proposed technique detects and tracks the mouth in either closed or opened state. We use the color components for skin tone and lips extraction.
  • A Two Fold Expert System for Yawning Detection
    C. Anitha, M.K. Venkatesha, B. Suryanarayana Adiga
    Procedia Computer Science, 2016
    One of the prominent indicators of drowsiness is yawning. The main intention for a real-time application such as detecting the driver's yawning is that the response of the detector must be as quick as possible. A novel yawning detection system is proposed which is based on a two agent expert system. The features of the face have to be extracted to detect yawning in the driver's face. In the proposed system, as the first part of detection we use the face detection algorithm's skin detection part. The skin region is extracted. For all the skin region blocks detected, their boundaries are defined. Then segmented face is divided into two halves. The lower half of the face is considered for the mouth region extraction. The presence of yawning would be indicated by a black blob in the mouth region of the binary image. But, there may be multiple blobs present in the image which may be due to the presence non-skin like regions around the driver's face. So, identifying the exact position of the mouth and checking for its containment inside the face is necessary. The features extracted for yawning detection are the histogram values taken from the vertical projection of the lower part of the face.
  • Fusion at decision level in multimodal biometric authentication system using Iris and Finger Vein with novel feature extraction
    Sudhamani M J, M K Venkatesha, Radhika K R
    11th IEEE India Conference Emerging Trends and Innovation in Technology Indicon 2014, 2015
    A Multimodal authentication system with fusion at decision level employing Iris and Finger Vein is developed. This paper also proposes a novel feature extraction technique for finger vein and iris traits. This approach combines the decisions from the individual modalities using the conventional AND rule. Experimental results demonstrate the effectiveness of the proposed multimodal authentication system for accurate person authentication.
  • Toffoli cascade synthesis of an optimized two-bit comparator
    H. R. Bhagyalakshmi, M. K. Venkatesha
    Lecture Notes in Electrical Engineering, 2014
    Reversible logic gates are in high demand in the world of low-power digital circuits and quantum computers since the power dissipation problems which occur in the computational operations of a computer can be avoided by using reversible structures instead of the conventional irreversible logic structures. One important task is to compare the inputs using a computer and decide what to do next. In a quantum computer, this must be built using reversible logic circuits. In this paper, we are presenting a two-bit comparator using new reversible logic gate called BVMF gate which is a multifunction gate. The optimization of the designed circuit is achieved by keeping the number of gates and number of garbage outputs to a minimum value.
  • Revisiting feature level and score level fusion techniques in multimodal biometrics system
    M J Sudhamani, M K Venkatesha, K R Radhika
    Proceedings of 2012 International Conference on Multimedia Computing and Systems Icmcs 2012, 2012
    The primary application of biometric technology is to analyze human characteristics for security purpose as security issues have been the focused interest in recent years. A survey of different fusion techniques in multimodal biometrics is made. This paper also attempts to identify some of the challenges and issues that confront research in multimodal biometrics.
  • An approach for on-line signature authentication using Zernike moments
    K.R. Radhika, M.K. Venkatesha, G.N. Sekhar
    Pattern Recognition Letters, 2011
    In this work, shape analysis of the acceleration plot, using lower order Zernike moments is performed for authentication of on-line signature. The on-line signature uses time functions of the signing process. The lower order Zernike moments represent the global shape of a pattern. The derived feature, acceleration vector is computed for the sample signature which comprises on-line pixels. The Zernike moment represent the shape of the acceleration plot. The summation value of a Zernike moment for a signature sample is obtained on normalized acceleration values. This type of substantiation decreases the influence of primary features with respect to translation, scaling and rotation at preprocessing stage. Zernike moments provide rotation invariance. In this investigation it was evident that the summation of magnitude of a Zernike moment for a genuine sample was less as compared to the summation of magnitude of a imposter sample. The number of derivatives of acceleration feature depends on the structural complexity of the signature sample. The computation of best order by polynomial fitting and reference template of a subject is discussed. The higher order derivatives of acceleration feature are considered. Signatures with higher order polynomial fitting and complex structure require higher order derivatives of acceleration. Each derivative better represents a portion of signature. The best result obtained is 4% of False Rejection Rate [FRR] and 2% of False Acceptance Rate [FAR].
  • Signature authentication based on subpattern analysis
    K.R. Radhika, M.K. Venkatesha, G.N. Sekhar
    Applied Soft Computing Journal, 2011
  • A novel approach for authentication of online handwritten signature based on residuals, poles and zeros
    K. R. RADHIKA, M. K. VENKATESHA, G. N. SEKHAR
    International Journal of Pattern Recognition and Artificial Intelligence, 2011
  • Signature and iris authentication based on derived kinematic values
    K. R. RADHIKA, S. V. SHEELA, M. K. VENKATESHA, G. N. SEKHAR
    International Journal of Pattern Recognition and Artificial Intelligence, 2010
  • Off-line signature authentication based on moment invariants using support vector machine
    Radhika
    Journal of Computer Science, 2010
  • An application of continuous dynamic programming
    K. R. Radhika, M. K. Venkatesha, G. N. Sekhar
    Proceedings of the 2009 2nd International Congress on Image and Signal Processing Cisp 09, 2009
  • A low-power low-voltage CMOS thyristor based delay element
    P. V. Manjunath, H. R. Baghyalakshmi, M. K. Venkatesha
    2009 2nd International Conference on Emerging Trends in Engineering and Technology Icetet 2009, 2009
  • Multi-modal authentication using continuous dynamic programming
    K. R. Radhika, S. V. Sheela, M. K. Venkatesha, G. N. Sekhar
    Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2009
  • Iris and signature authentication using continuous dynamic programming
    S. V. Sheela, K. R. Radhika, M. K. Venkatesha, P. A. Vijaya
    Proceedings of the 2009 2nd International Congress on Image and Signal Processing Cisp 09, 2009
  • Server-side reconstruction trajectory generation methods for hand written objects authentication a comparative review
    K. R. Radhika, G. N. Sekhar, M. K. Venkatesha
    International Conference on Multimedia Computing and Systems Proceedings, 2009
  • Pattern recognition techniques in on-line hand written signature verification - A survey
    K. R. Radhika, G. N. Sekhar, M.K. Venkatesha
    International Conference on Multimedia Computing and Systems Proceedings, 2009
  • On-line signature authentication using Zernike moments
    K R Radhika, M K Venkatesha, G N Shekar
    IEEE 3rd International Conference on Biometrics Theory Applications and Systems Btas 2009, 2009

RECENT SCHOLAR PUBLICATIONS

  • Word Recognition Through Mapping of Lip Movements from Speech Utterance Using Audiovisual Fusion and MLP
    GN Srikanth, MK Venkatesha
    International Journal of Health Sciences, 4533-4545 , 2022
    2022
    Citations: 1
  • Artificial Neural Network Approach for multimodal biometric authentication system
    MJ Sudhamani, I Sanyal, MK Venkatesha
    Proceedings of Data Analytics and Management: ICDAM 2021, Volume 2, 253-265 , 2021
    2021
    Citations: 4
  • EXTRACTION OF LIP FEATURES FOR THE IDENTIFICATION OF VOWELS UTTERANCES USING MFCC AND GEOMETRICAL ASPECTS
    MK VENKATESHA
    INTERNATIONAL JOURNAL 8 (5), 3978-3983 , 2020
    2020
  • Feature Level Fusion of Iris and Finger Vein Biometrics for Multimodal Biometric Authentication System
    MJ Sudhamani, MK Venkatesha
    International Journal of Recent Technology and Engineering (IJRTE) 7 (5) , 2019
    2019
    Citations: 2
  • Fusion of Iris Texture with Finger vein Geometry for Authentication
    MJ Sudhamani, MK Venkatesha
    International Journal of Innovative Technology and Exploring Engineering 8 … , 2019
    2019
    Citations: 1
  • A two fold expert system for yawning detection
    C Anitha, MK Venkatesha, BS Adiga
    Procedia computer science 92, 63-71 , 2016
    2016
    Citations: 36
  • Real Time Detection and Tracking of Mouth Region of Single Human Face
    C Anitha, MK Venkatesha, BS Adiga
    2015 3rd International Conference on Artificial Intelligence, Modelling and … , 2015
    2015
    Citations: 5
  • Fusion at decision level in multimodal biometric authentication system using Iris and Finger Vein with novel feature extraction
    MJ Sudhamani, MK Venkatesha, KR Radhika
    2014 Annual IEEE India Conference (INDICON), 1-6 , 2014
    2014
    Citations: 19
  • Toffoli cascade synthesis of an optimized two-bit comparator
    HR Bhagyalakshmi, MK Venkatesha
    Emerging Research in Electronics, Computer Science and Technology … , 2013
    2013
    Citations: 1
  • Optimized multiplier using reversible multi-control input toffoli gates
    HR Bhagyalakshmi, MK Venkatesha
    International Journal of VLSI Design & Communication Systems 3 (6), 27 , 2012
    2012
    Citations: 30
  • An Optimized Multiplier Using Reversible Logic Gates.
    HR Bhagyalakshmi, MK Venkatesha
    International Journal of Advanced Research in Computer Science 3 (4) , 2012
    2012
    Citations: 1
  • Novel Design of one digit high speed Carry select BCD Subtractor using Reversible logic gates‖
    M Sudharshan, HR Bhagyalakshmi, MK Venkatesha
    International Journal of Emerging Technology and Advanced Engineering 2 (7 … , 2012
    2012
    Citations: 6
  • Revisiting feature level and score level fusion techniques in multimodal biometrics system
    MJ Sudhamani, MK Venkatesha, KR Radhika
    2012 International Conference on Multimedia Computing and Systems, 881-885 , 2012
    2012
    Citations: 18
  • Design of sequential circuit elements using reversible logic gates
    HR Bhagyalakshmi, MK Venkatesha
    World Applied Programming 2 (5), 263-271 , 2012
    2012
    Citations: 21
  • Design of a multifunction BVMF reversible logic gate and its applications
    HR Bhagyalakshmi, MK Venkatesha
    International Journal of Computer Applications 32 (3), 36-41 , 2011
    2011
    Citations: 21
  • Optimized design of BCD adder and Carry skip BCD adder using reversible logic gates
    HR Bhagyalakshmi, MK Venkatesha
    International journal on computer science and Engineering 3 (4), 1439-1449 , 2011
    2011
    Citations: 8
  • Signature authentication based on subpattern analysis
    KR Radhika, MK Venkatesha, GN Sekhar
    Applied Soft Computing 11 (3), 3218-3228 , 2011
    2011
    Citations: 11
  • An approach for on-line signature authentication using Zernike moments
    KR Radhika, MK Venkatesha, GN Sekhar
    Pattern Recognition Letters 32 (5), 749-760 , 2011
    2011
    Citations: 26
  • A Novel Approach for Authentication of Online Handwritten Signature Based on Residuals, Poles and Zeros
    KR Radhika, MK Venkatesha, GN Sekhar
    International Journal of Pattern Recognition and Artificial Intelligence 25 … , 2011
    2011
    Citations: 1
  • Signature and iris authentication based on derived kinematic values
    KR Radhika, SV Sheela, MK Venkatesha, GN Sekhar
    International Journal of Pattern Recognition and Artificial Intelligence 24 … , 2010
    2010
    Citations: 3

MOST CITED SCHOLAR PUBLICATIONS

  • An improved design of a multiplier using reversible logic gates
    HR Bhagyalakshmi, MK Venkatesha
    International journal of engineering science and technology 2 (8), 3838-3845 , 2010
    2010
    Citations: 168
  • Optimized reversible BCD adder using new reversible logic gates
    HR Bhagyalakshmi, MK Venkatesha
    arXiv preprint arXiv:1002.3994 , 2010
    2010
    Citations: 79
  • A survey on facial expression databases
    C Anitha, MK Venkatesha, BS Adiga
    International Journal of Engineering Science and Technology 2 (10), 5158-5174 , 2010
    2010
    Citations: 69
  • A two fold expert system for yawning detection
    C Anitha, MK Venkatesha, BS Adiga
    Procedia computer science 92, 63-71 , 2016
    2016
    Citations: 36
  • Pattern recognition techniques in on-line hand written signature verification-A survey
    KR Radhika, GN Sekhar, MK Venkatesha
    2009 International Conference on Multimedia Computing and Systems, 216-221 , 2009
    2009
    Citations: 35
  • Optimized multiplier using reversible multi-control input toffoli gates
    HR Bhagyalakshmi, MK Venkatesha
    International Journal of VLSI Design & Communication Systems 3 (6), 27 , 2012
    2012
    Citations: 30
  • An approach for on-line signature authentication using Zernike moments
    KR Radhika, MK Venkatesha, GN Sekhar
    Pattern Recognition Letters 32 (5), 749-760 , 2011
    2011
    Citations: 26
  • Design of sequential circuit elements using reversible logic gates
    HR Bhagyalakshmi, MK Venkatesha
    World Applied Programming 2 (5), 263-271 , 2012
    2012
    Citations: 21
  • Design of a multifunction BVMF reversible logic gate and its applications
    HR Bhagyalakshmi, MK Venkatesha
    International Journal of Computer Applications 32 (3), 36-41 , 2011
    2011
    Citations: 21
  • Off-line signature authentication based on moment invariants using support vector machine
    R Radhika, MK Venkatesha, GN Sekhar
    Journal of Computer Science 6 (3), 305 , 2010
    2010
    Citations: 21
  • Digital filter for cochlear implant implemented on a field-programmable gate array
    RV Dundur, MV Latte, SY Kulkarni, MK Venkatesha
    proceedings of world academy of science, engineering and technology 33 , 2008
    2008
    Citations: 20
  • Fusion at decision level in multimodal biometric authentication system using Iris and Finger Vein with novel feature extraction
    MJ Sudhamani, MK Venkatesha, KR Radhika
    2014 Annual IEEE India Conference (INDICON), 1-6 , 2014
    2014
    Citations: 19
  • Revisiting feature level and score level fusion techniques in multimodal biometrics system
    MJ Sudhamani, MK Venkatesha, KR Radhika
    2012 International Conference on Multimedia Computing and Systems, 881-885 , 2012
    2012
    Citations: 18
  • Multi-modal authentication using continuous dynamic programming
    KR Radhika, SV Sheela, MK Venkatesha, GN Sekhar
    European Workshop on Biometrics and Identity Management, 228-235 , 2009
    2009
    Citations: 14
  • Signature authentication based on subpattern analysis
    KR Radhika, MK Venkatesha, GN Sekhar
    Applied Soft Computing 11 (3), 3218-3228 , 2011
    2011
    Citations: 11
  • On-line signature authentication using Zernike moments
    KR Radhika, MK Venkatesha, GN Shekar
    2009 IEEE 3rd International Conference on Biometrics: Theory, Applications … , 2009
    2009
    Citations: 10
  • A low-power low-voltage CMOS thyristor based delay element
    PV Manjunath, HR Baghyalakshmi, MK Venkatesha
    2009 Second International Conference on Emerging Trends in Engineering … , 2009
    2009
    Citations: 9
  • Optimized design of BCD adder and Carry skip BCD adder using reversible logic gates
    HR Bhagyalakshmi, MK Venkatesha
    International journal on computer science and Engineering 3 (4), 1439-1449 , 2011
    2011
    Citations: 8
  • Linear Suboptimal PWM Switching for Microprocessor Controlled Inverters
    MK Venkatesha, R Adiga, KA Krishnamurthy
    TENCON'91. Region 10 International Conference on EC3-Energy, Computer … , 1991
    1991
    Citations: 7
  • Novel Design of one digit high speed Carry select BCD Subtractor using Reversible logic gates‖
    M Sudharshan, HR Bhagyalakshmi, MK Venkatesha
    International Journal of Emerging Technology and Advanced Engineering 2 (7 … , 2012
    2012
    Citations: 6