IIT Indore
Publications

Journal Publications
  • Vijay Anand and Vivek Kanhangad, “PoreNet: CNN-based pore descriptor for high-resolution fingerprint recognition”, IEEE Sensors Journal, vol. 20, no. 16, pp. 9305-9313, Aug. 2020.

  • Ankita Jain and Vivek kanhangad, “Gender recognition in smartphones using touchscreen gestures”, Pattern recognition Letters, vol. 125, pp. 604-611, July 2019.
  • Vijay Anand and Vivek Kanhangad, “Pore detection in high-resolution fingerprint images using deep residual network”, Journal of Electronic Imaging, vol. 28, no. 2, pp. 020502, 2019.

  • Vijay Anand and Vivek Kanhangad, “High-resolution fingerprint indexing using pore-based features”, Pattern Analysis and Applications, Feb. 2019.

  • Shishir Maheshwari, Vivek Kanhangad, Ram Bilas Pachori, S. V. Bhandary, and U. R. Acharya, “Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques,” Computers in Biology and Medicine, vol. 105, pp. 72 – 80, 2019.

  • Anirudh Manyala, Hisham Cholakkal, Vijay Anand, Vivek Kanhangad,  and Deepu Rajan, “Deep features and fine-tuned CNN for gender classification in near-infrared periocular images”, Pattern Analysis and Applications, May 2018.
  • T. Sunil Kumar and Vivek Kanhangad, “Gabor Filter-based 1D-Local Phase Descriptors for Obstructive Sleep Apnea Detection using Single-lead ECG”, IEEE Sensors Letters, vol. 2, no. 1, Mar. 2018.

  •  T. Sunil Kumar and Vivek Kanhangad “Detection of electrocardiographic changes in partial epileptic patients using local binary pattern based composite feature”, Australasian Physical & Engineering Sciences in Medicine, vol. 41, no. 1, pp. 209-216, 2018.

  • Ankita Jain and Vivek Kanhangad, “Human Activity Classification in Smartphones using Accelerometer and Gyroscope Sensors”, IEEE Sensors Journal, vol. 18, no. 3, pp. 1169-1177, Feb. 2018.
  • Ankita Jain and Vivek Kanhangad, “Gender classification in smartphones using gait information”, Expert Systems with Applications, vol. 93, pp. 257-266, March 2018.

  • Shruti Bhilare, Vivek Kanhangad, “Securing Palm-vein Sensors against Presentation Attacks using Image Noise Residuals”, Journal of Electronic Imaging, vol. 27, no. 5, pp. 053028, 2018.

  • Shruti Bhilare, Gaurav Jaswal, Vivek Kanhangad, Aditya Nigam, “Single Sensor Hand-Vein Multimodal Biometric Recognition using Multiscale Deep Pyramidal Approach”, Machine Vision and Applications, vol. 29, no. 8, pp. 1269-1286, 2018.
  • Ashwani Tiwari, Vivek Kanhangad and Ram Bilas Pachori, “Histogram refinement for texture descriptor based image retrieval”, Signal Processing: Image Communication vol. 52, pp. 73-85, April 2017.

  • Shruti Bhilare, Vivek Kanhangad and Narendra Chaudhari, “A study on vulnerability and presentation attack detection in palmprint verification system”, Pattern Analysis and Applications, Jan. 2017.

  • Sunil Kumar and Vivek Kanhangad, “Automated obstructive sleep apnoea detection using symmetrically-weighted local binary pattern”, IET Electronics Letters, vol. 53, pp. 212-214, Feb. 2017. (doi:10.1049/el.2016.3664)

  • Shishir Maheshwari, Ram Bilas Pachori, Vivek Kanhangad, S.V. Bhandary, and U.R. Acharya, “Iterative variational mode decomposition based automated detection of glaucoma using fundus images”, Computers in Biology and Medicine, vol. 88, pp. 142-147, Sept. 2017.
  • Ashwani Tiwari, Ram Bilas Pachori, Vivek Kanhangad and Bijaya Panigrahi , “Automated Diagnosis of Epilepsy using Key-point Based Local Binary Pattern of EEG Signals”, IEEE Journal of Biomedical and Health Informatics, vol. 21, pp. 888-896, July 2017. (doi: 10.1109/JBHI.2016.2589971)

  • Omkishor Sahu, Vijay Anand, Vivek Kanhangad and Ram Bilas Pachori, “Classification of Magnetic Resonance Brain Images using Bi-dimensional Empirical Mode Decomposition and Autoregressive Model ”, Biomedical Engineering Letters, vol. 5, no. 4, pp. 311-320, Dec. 2015. (doi: 10.1007/s13534-015-0208-9)

  • Ankita Jain and Vivek Kanhangad, “Exploring orientation and accelerometer sensor data for personal authentication in smartphones using touchscreen gestures”, Pattern Recognition Letters, vol. 68, pp. 351-360, Dec. 2015. 

  • Sunil Kumar, Vivek Kanhangad and Ram Bilas Pachori, “Classification of Seizure and Seizure-free EEG Signals using Local Binary Patterns”, Biomedical Signal Processing and Control, vol. 15, pp. 33-40, Jan. 2015. (doi: http://dx.doi.org/10.1016/j.bspc.2014.08.014)

  • Vivek Kanhangad, Ajay Kumar and David Zhang, “A Unified Framework for Hand Verification using 2D and 3D Features”, IEEE Trans. Information Forensics Security, vol. 6, no. 3, pp. 10141-1027, Sep. 2011. (doi: 10.1109/TIFS.2011.2121062)

  • Vivek Kanhangad, Ajay Kumar and David Zhang, “Contactless and Pose Invariant Biometric Identification using 3D Hand Surface”, IEEE Trans. Image Processing, vol. 20, no. 5, pp. 1415-1424, May 2011. (doi: 10.1109/TIP.2010.2090888)

  • Ajay Kumar, Vivek Kanhangad and David Zhang, “A new Framework for Adaptive Multimodal Biometrics Management”, IEEE Trans. Info. Forensics Security, vol. 5, no. 1, pp. 92-102, Mar.2010. (doi: 10.1109/TIFS.2009.2031892)

  • David Zhang, Vivek Kanhangad, Luo Nan and Ajay Kumar, “Robust palmprint verification using 2D and 3D features”, Pattern Recognition, vol. 43, no. 1, pp. 358-368, 2010. (doi: http://dx.doi.org/10.1016/j.patcog.2009.04.026)

  • Vivek Kanhangad, Ajay Kumar and David Zhang, “Comments on an Adaptive Multimodal Bio-metric Management Algorithm”, IEEE Trans. Systems, Man, and Cybernetics: Part C, vol. 38, no. 5, pp. 438-440, 2008. (doi: 10.1109/TSMCC.2008.2001570)


Book Chapters

  • David Zhang and Vivek Kanhangad, “3D Palmprint”, Encyclopedia of Biometrics, Stan Z. Li (Ed.), Springer, 2009.

  • David Zhang and Vivek Kanhangad, “Hand Geometry Recognition”, Encyclopedia of Cryptography and Security , Henk C.A. van Tilborg and Sushil Jajodia (Eds.), Springer, 2011.

  • Vivek Kanhangad and Ajay Kumar, “Personal Verification based on the Geometry of Human Hands”, Advanced Topics in Biometrics, Haizhou Li, Liyuan Li and Kar-Ann Toh (Eds.), World Scientific, 2011.

Conference Publications

  • Sachin Garg, Shruti Bhilare, and Vivek Kanhangad, “Subband Analysis for Performance Improvement of Replay Attack Detection in Speaker Verification Systems”, Proc. IEEE International Conference on Identity, Security, and Behavior Analysis (ISBA), 2019, Hyderabad, India.

  • Vijay Anand and Vivek Kanhangad, “Deep Convolutional Neural Network for Dot and Incipient Ridge Detection in High-resolution Fingerprints”, Proc. IEEE International Conference on Identity, Security, and Behavior Analysis (ISBA), 2019, Hyderabad, India.

  • Daksh Thapar, Gaurav Jaswal, Aditya Nigam, and Vivek Kanhangad, “PVSNet: Palm Vein Authentication Siamese Network Trained using Triplet Loss and Adaptive Hard Mining by Learning Enforced Domain Specific Features”, Proc. IEEE International Conference on Identity, Security, and Behavior Analysis (ISBA), 2019, Hyderabad, India.

  • Ankita Jain and Vivek Kanhangad, “Human Activity Classification in Smartphones Using Shape Descriptors”, Proc. 24th National Conference on Communications (NCC 2018), Hyderabad.
  • Sushree Behera, Mahesh Gour, Vivek Kanhangad, and Niladri Puhan, Periocular recognition in cross-spectral scenario”, Proc. International Joint Conference on Biometrics (IJCB 2017), Denver, USA.

  • Shruti Bhilare, Vivek Kanhangad, and Narendra Chaudhari, Histogram of Oriented Gradients based Presentation Attack Detection in Dorsal Hand-Vein Biometric System”, Proc. 15th IAPR Conference on Machine Vision Applications (MVA 2017), Nagoya, Japan.
  • Vijay Anand, and Vivek Kanhangad, “Pore based Indexing for High-Resolution Fingerprints”, Proc. IEEE International Conference on Identity, Security and Behavior Analysis (ISBA 2017), New Delhi.

  • Ankita Jain, and Vivek Kanhangad, Investigating Gender Recognition in Smartphones using Accelerometer and Gyroscope Sensor Readings”, Proc. IEEE International Conference on Computational Techniques in Information and Communication Technologies, 2016, India. 

  • Ishan Patil, Shruti Bhilare, and Vivek Kanhangad, “Assessing Vulnerability of Dorsal Hand-Vein Verification System to Spoofing Attacks using Smartphone Camera”, Proc. IEEE International Conference on Identity, Security and Behavior Analysis (ISBA 2016), Japan.

  • Vivek Kanhangad, Shruti Bhilare, Pragalbh Garg, Pranjalya Singh, and Narendra Chaudhari, “Anti-spoofing for display and print attacks on palmprint verification systems”, Proc. SPIE Biometric and Surveillance Technology for Human and Activity Identification XII, 94570E, Apr. 2015, Maryland.
  • Sunil Kumar, Vivek Kanhangad, and Ram Bilas Pachori, “Classification of Seizure and Seizure-free EEG Signals using Multi-Level Local Patterns”, Proc. International Conference on Digital Signal Processing (DSP), Aug. 2014, Hong Kong.

  • Vivek Kanhangad, and Abhishek Kumar, “Securing Palmprint Authentication Systems using Spoof Detection Approach”, Proc. International Conference on Machine Vision, vol. 9067, pp. 90671M-1 - 90671M-5, 2013, London.

  • Vivek Kanhangad, Ajay Kumar, and David Zhang, “Human hand identification with 3D hand pose variations”, Proc. IEEE Workshop on Biometrics at CVPR, pp. 17-21, Jun. 2010, San Francisco.

  • Vivek Kanhangad, Ajay Kumar, and David Zhang, “Combining 2D and 3D Hand Geometry Features for Biometric Verification”, Proc. IEEE Workshop on Biometrics at CVPR, pp. 39-44, Jun. 2009, Miami, Florida.

  • Ajay Kumar, Vivek Kanhangad, and David Zhang, “Multimodal Biometrics Management using Adaptive Score-level Combination”, Proc. IEEE International Conference on Pattern Recognition (ICPR), pp. 1-4, Dec. 2008, Tampa, Florida.

  • Vivek Kanhangad, David Zhang, and Luo Nan, “A Multimodal Biometric Authentication System based on 2D and 3D Palmprint Features”, Proc. SPIE Biometric Technology for Human Identification V, vol. 6944, pp. 69440C-69440C-9, Mar. 2008, Orlando, Florida.

  • Vivek Kanhangad, M. Gopal, and B. K. Panigrahi, “Knowledge Discovery in PQ data based on SVM and S-Transform”, Proc. Third International Conference on Information Technology: New Generations (ITNG), pp. 507-512, 2006, Las Vegas.































Faculty Profile
Electrical Engineering
Dr. Vivek Kanhangad
Associate Professor
Electrical Engineering

kvivek[at]iiti.ac.in