IIIT Delhi Biometrics

Hi I would like to have the information about the Image Analysis and Biometrics Lab at IIIT Delhi as well as the areas of research?

[Rajkumar Agarwal]

The Image Analysis and Biometrics Lab is taking a shot at creating novel answers for biometrics related issues roused from picture investigation, design grouping, and machine learning ideal models.

Amid the Open House - 2015, it will share some fascinating biometric look into activities that the understudies and employees of this lab are seeking after at IIIT-Delhi. Some illustrative cases are idle unique finger impression acknowledgment, iris acknowledgment, confront acknowledgment, kinect, and understanding human observation.

Current areas of research include:

Biometrics
• Face recognition (plastic surgery, sketch, low resolution disguise, quality, kinect, kinship, newborns, aging, weight)
• Fingerprint recognition (latent, simultaneous latent)
• Iris recognition (aging, alcohol, surgery, disease, interoperability)
• Large scale biometric system
• Presentation attack detection (Anti-spoofing)
• Soft biometrics
• Multimodal fusion
• Face CAPTCHA

Machine Learning and Pattern Recognition
• Deep learning
• Dictionary Learning
• Domain transfer learning
• Incremental learning
• Manifold/subspace learning

Neurocognition
• functional Magnetic Response Imaging
• EEG

Medical Image Processing
• Mammography
• Cell image classification

Publications:

2017

A. Sankaran, A. Jain, T. Vashisth, M. Vatsa, and R. Singh, Adaptive Latent Fingerprint Segmentation using Feature Selection and Random Decision Forest Classification, Information Fusion, Volume 34, Pages 1-15, March 2017.

P. Mittal, A. Jain, G. Goswami, M. Vatsa, and R. Singh, Composite Sketch Recognition using Saliency and Attribute Feedback, Information Fusion, Volume 33, Pages 86–99, January 2017.

2016

S. Tariyal, A. Majumdar, R. Singh and M. Vatsa, Deep Dictionary Learning , IEEE Access, 2016.

N. Kohli, M. Vatsa, R. Singh, A. Noore, and A. Majumdar, Hierarchical Representation Learning for Kinship Verification, IEEE Transactions on Image Processing, 2016 (Accepted)

A. Sankaran, G. Goswami, M. Vatsa, R. Singh, A. Majumdar Class sparsity signature based Restricted Boltzmann Machine, Pattern Recognition, Volume 61, pp. 674–685, January 2017

H. Mehrotra, R. Singh, M. Vatsa, and B. Majhi, Incremental Granular Relevance Vector Machine: A Case Study in Multimodal Biometrics, Pattern Recognition, Volume 56, pp. 63-76, 2016

G. Goswami, P. Mittal, A. Majumdar, R. Singh, and M. Vatsa, Group Sparse Representation based Classification for Multi-feature Multimodal Biometrics, Information Fusion (Elsevier), Volume 32, Part B, November 2016, Pages 3–12.

A. Bharati, R. Singh, M. Vatsa, and K. Bowyer, Detecting Facial Retouching Using Supervised Deep Learning, IEEE Transactions on Information Forensics and Security, vol. 11, no. 9, pp. 1903-1913, Sept 2016.

S. Nagpal, M. Vatsa, and R. Singh, Sketch Recognition: What Lies Ahead?, Image and Vision Computing, Volume 55, Part 1, November 2016, pp. 9-13, 2016.

S. Bharadwaj, H. Bhatt, M. Vatsa, R. Singh, Domain Specific Learning for Newborn Face Recognition, IEEE Transactions on Information Forensics and Security, vol. 11, no. 7, pp. 1630-1641, July 2016.

T.I. Dhamecha, R. Singh, M. Vatsa, On Incremental Semi-supervised Discriminant Analysis, Pattern Recognition, Volume 52, pp. 135–147, 2016.

I. Nigam, M. Vatsa, and R. Singh, Ophthalmic Disorder Menagerie and Iris Recognition Handbook of Iris Recognition. Springer London, 519-539, 2016.

G. Goswami, N. Ratha, M. Vatsa, R. Singh, Improving Classifier Fusion via Pool Adjacent Violators Normalization, IEEE International Conference on Pattern Recognition, 2016

A. Agarwal, R. Singh, M. Vatsa, Fingerprint Sensor Classification via M´elange of Handcrafted Features, IEEE International Conference on Pattern Recognition, 2016

Address:

Image Analysis and Biometrics Lab
Indraprastha Institute of Information Technology, Delhi (IIIT-D)
2nd Floor, A-wing
Okhla Industrial Estate,Phase III
(Near Govind Puri Metro Station)
New Delhi, India – 110020