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


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.
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



  • Steven Hoffman, Renu Sharma, Arun Ross, Iris + Ocular: Generalized Iris Presentation Attack Detection Using Multiple Convolutional Neural Networks, 12th IAPR International Conference on Biometrics (ICB), Crete, Greece, 2019.
  • 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 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]


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