Hi! This is Renu Sharma

Ph.D. Scholar, Computer Science and Engineering
Michigan State University
Working in Integrated Pattern Recognition and Biometrics (iPRoBe) lab under the guidance of
Dr. Arun Ross

Projects

Currently, I am focusing on presentation attack detection in Iris biometrics. Earlier, I was involved in numerous projects of iris, fingerprint and face recognition. I have worked both in research and commercial projects.

Presentation Attack Detection in Iris Biometrics
The project focuses on the problem of presentation attacks against iris recognition systems. Iris recognition systems recognize individuals based on their unique and complex iris patterns. A presentation attack (PA) occurs when an adversarial user presents a fake or altered biometric sample to the sensor in order to spoof another user’s identity, obfuscate their own identity, or create a virtual identity. Commonly used presentation attacks are printed iris images, plastic, glass, or doll eyes, cosmetic contact lenses, replaying a video of an individual’s eye, robotic eyes. To detect such attacks, we develop a deep convolutional neural network (CNN) that can determine if an input eye image corresponds to an attack or not.

Presentation Attack Detection in Iris Biometrics

The project focuses on the problem of presentation attacks against iris recognition systems. Iris recognition systems recognize individuals based on their unique and complex iris patterns. A presentation attack (PA) occurs when an adversarial user presents a fake or altered biometric sample to the sensor in order to spoof another user’s identity, obfuscate their own identity, or create a virtual identity. Commonly used presentation attacks are printed iris images, plastic, glass, or doll eyes, cosmetic contact lenses, replaying a video of an individual’s eye, robotic eyes. To detect such attacks, we develop a deep convolutional neural network (CNN) that can determine if an input eye image corresponds to an attack or not.

Biometric Seafarer Identity Documents (B-SID)
The project was funded by the Directorate General of Shipping, Government of India. The aim of the project is to provide secure and hassle-free biometric based globally acceptable identity document called SID document (similar to e-Passport) to seafarer as per the ILO Convention 185(2003) for identification purpose across the world sea shores.

Passport Seva Project

Graduate Aptitude Test in Engineering (GATE) and Indian Institute of Technology Joint Entrance Examination (IIT-JEE) for IITs

OmniOutput Management Suite (O2MS) and OmniReports

Publications

Journals

Renu Sharma, Sukhendu Das and Padmaja Joshi, Score Level Fusion using Generalized Extreme Value Distribution and Dezert-Smarandache Theory for Multi-biometric Systems, IET-Biometrics, February, 2018, DOI: 10.1049/iet-bmt.2017.0076.[pdf]

Conferences/Workshops

Renu Sharma and Arun Ross, Viability of Optical Coherence Tomography for Iris Presentation Attack Detection, International Conference on Pattern Recognition (ICPR), Milan, Italy, 2021.
P. Das, J. McGrath, Z. Fang, A. Boyd, G. Jang, A. Mohammadi, S. Purnapatra, D. Yambay, S. Marcel, M. Trokielwicz, P. Maciejewicz, K. Bowyer, A. Czajka, S. Schuckers, J. T. Farias, S. Gonzalez, M. Fang, N. Damer, F. Boutros, A. Kuijper, R. Sharma, C. Chen and A. Ross, Iris Liveness Detection Competition (LivDet-Iris) – The 2020 Edition, International Joint Conference on Biometrics (IJCB), 2020.[pdf]
Renu Sharma and Arun Ross, D-NetPAD: An Explainable and Interpretable Iris Presentation Attack Detector, International Joint Conference on Biometrics (IJCB), 2020.[pdf]
A. Ross, S. Banerjee, C. Chen, A. Chowdhury, V. Mirjalili, R. Sharma, T. Swearingen and S. Yadav, Some Research Problems in Biometrics: The Future Beckons, International Conference on Biometrics (ICB), Crete, Greece, June 2019.[pdf]
Steven Hoffman, Renu Sharma, Arun Ross, Iris + Ocular: Generalized Iris Presentation Attack Detection Using Multiple Convolutional Neural Networks, International Conference on Biometrics (ICB), Crete, Greece, 2019.[pdf]
Steven Hoffman, Renu Sharma, Arun Ross, Convolutional Neural Networks for Iris Presentation Attack Detection: Toward Cross-Dataset and Cross-Sensor Generalization, Computer Vision and Pattern Recognition Workshops (CVPRW), Salt Lake City, USA, 2018.[pdf]
Renu Sharma, Sukhendu Das, Padmaja Joshi, Score Normalization in Multimodal Systems using Generalized Extreme Value Distribution, British Machine Vision Conference (BMVC), Swansea, U.K., 2015.[pdf]
Renu Sharma, Sukhendu Das, Padmaja Joshi, Rank Level Fusion in Multibiometric Systems, 5th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), Patna, India, 2015.[pdf]
Renu Sharma, Sukhendu Das, Padmaja Joshi, Dictionary based Framework for Face Recognition, Designed Mutually for Single Training Sample (STS) and Degraded Set (DS), International Joint Conference on Biometrics (IJCB), Florida, USA, 2014.[pdf]
Renu Sharma, Ashutosh Singh, Akanksha Joshi and Abhishek Gangwar, Robust Iris Classification through a Combination of Kernel Discriminant Analysis and Parzen based Probabilistic Neural Networks, International Conference of Emerging Applications of Information Technology (EAIT), Kolkata, India, 2014.[pdf]
Akanksha Joshi, Abhishek Gangwar, Renu Sharma, Ashutosh Singh and Zia Saquib, Periocular Recognition based on Gabor and ParzenPNN, International Conference on Image Processing (ICIP), Paris, France, 2014.[pdf]
Abhishek Gangwar, Akanksha Joshi, Renu Sharma and Zia Saquib, Person Identification based on Fusion of Left and Right Periocular Region, International Conference on Signal, Image and Video Processing (ICSIVP), Patna, India, 2012.[pdf]
Akanksha Joshi, Abhishek Gangwar, Renu Sharma and Zia Saquib, Periocular Feature Extraction Based on LBP and DLDA, International Conference on Advances in Computer Science, Engineering and Applications (ICCSEA), Delhi, India, 2012.[pdf]
Abhishek Gangwar, Akanksha Joshi, Renu Sharma and Zia Saquib, Robust Iris Templates for Efficient Person Identification, International Conference on Signal, Image Processing and Pattern Recognition (SPPR), Delhi, India, 2012.[pdf]

Contact

Renu Sharma
iPRoBe Lab
428 South Shaw Lane, Room 3115
Computer Science and Engineering
Michigan State University
East Lansing, MI 48824
Email: sharma90@cse.msu.edu, renusharma.it@gmail.com