is an Assistant Professor in the Department of Computer Science. He has completed his Ph.D (CS) at Rani Channamma University, Belagavi. He has over 9 years of teaching and 4 years of research experience. His research areas of interest are Digital Image Processing and Pattern Recognition, Unimodal & Multimodal Biometric data analysis. He has published more than 18 research articles in journals/conference proceedings, and also serves as a peer reviewer for international journals & conferences.
Research Publications
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Abhijit Patil, Kruthi R, Shivanand Gornale, Analysis of Multi-modal Biometrics System for Gender Classification Using Face, Iris and Fingerprint Images, International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.11, No.5, pp. 34-43, 2019. DOI: 10.5815/ijigsp.2019.05.04
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Gornale, S. S, Patil, A., & Hiremath, P. S. (2021). Behavioral biometric data analysis for gender classification using feature fusion and machine learning. Frontiers in Robotics and AI, 8, 685966. https://doi.org/10.3389/frobt.2021.685966
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Shivanand Gornale, Abhijit Patil, Khang Wen Goh, Sathish Kumar, Kruthi R. , Fingerprint Image Fusion: A Cutting-edge Perspective on Gender Classification via Rotational Invariant Features, International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.16, No.4, pp. 42-55, 2024. DOI:10.5815/ijigsp.2024.04.04
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Gornale, S. S., Patil, A., et al. (2021). Palmprint biometric data analysis for gender classification using binarized statistical image feature set. In Data Science: Transactions on Computer Systems and Networks (pp. 49–58). Springer, Singapore. https://doi.org/10.1007/978-981-16-1681-5_10
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S. S. Gornale, A. Patil, Automatic Human Gender Identification Using Palmprint, in Smart Computational Strategies: Theoretical and Practical Aspects, A. K. Luhach, K. B. G. Hawari, I. C. Mihai, P. A. Hsiung, and R. B. Mishra, Eds. Singapore: Springer, 2019. doi: https://doi.org/10.1007/978-981-13-6295-8_5
Expertise
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Digital Image Processing and Pattern Recognition
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Unimodal and Multimodal Biometric Data Analysis
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Machine Learning & Deep Learning
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Medical Image Processing
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Computer Vision and Human Computer Interaction