I am interested in the area of Pattern Recognition, Machine Learning Methods & Algorithms, Computer Vision, Medical Image Computing and Biometrics where my aim is to explore the knowledge of Mathematics, Cognitive Science, Artificial Intelligence and Biological Sciences, in providing the solutions to the problems related Computer Vision, Intelligent Medical Computation, Human Computer Interaction and Biometric-based Authentication Systems.

Presently, I'm doing research in the following problem domain.

Vitality Enabled Individual Authentication System

Electrocardiogram (ECG) as a Biometric: 

Biometric authentication systems are become the basis of trust to human society from the beginning of the last decade, but the security of system can be threatened by presenting a non-live or fake biometric sample for authentication. Although, different techniques have been proposed in the past those address the problem of vitality detection from biometrics but these techniques are far away from the final solution. We are exploring the feasibility of new modality such as physiological signals especially, electrocardiogram (ECG) as a vitality-enabled biometric. We are in process to develop a vitality enabled novel identity verification system using ECG.

  

Publications (Refereed/Peer-Reviewed)

1. Evaluation of Electrocardiogram for Biometric Authentication", Yogendra Narain Singh and S K Singh, Journal of Information Security, Vol. 3, pp. 39-48, January 2012. [doi:10.4236/jis.2012.31005]

2."Vitality Detection from Biometrics: State-of-the-art", Yogendra Narain Singh and S K Singh, In Proc. of IEEE World Congress on Information and Communication Technologies (WICT 2011), 11-14 Dec 2011, Mumbai, India, pp. 106-111, December 2011.

3."Correlation based Classification of Heartbeats for Individual Identification", Yogendra Narain Singh and P Gupta, Journal of Soft Computing, Springer, vol. 15(3), pp. 449-460, March 2011.

4."A Robust Delineation Approach of Electrocardiographic P Waves", Yogendra Narain Singh and P Gupta, In Proceedings IEEE Symposium on Industrial Electronics & Applications (ISIEA 2009),  Kuala Lumpur, Malaysia, Oct 4 - 6, 2009, pp. 846-849, IEEE.

5."Biometric Method for Human Identification using Electrocardiogram", Yogendra Narain Singh and P Gupta, ICB 2009, Lecture Notes of Computer Science, Springer Verlag, vol. 5558, pp. 1270 - 1279.

6."A Robust and Efficient Technique of T wave Delineation from Electrocardiogram", Yogendra Narain Singh and P Gupta, In Proceedings of Second International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2009), Jan 14 - 17, 2009, Porto Portugal, pp. 146 - 154, INSTICC/IEEE EMB.

7."ECG to Individual Identification", Yogendra Narain Singh and P Gupta, Proc. of IEEE 2nd International Conference on Biometrics: Theory,Applications and Systems (BTAS 2008), Sept 29 - Oct 1, 2008, Washington DC, USA, pp. 1-8, IEEE, ISBN: 978-1-4244-2729-1.

8."ECG Analysis: Automatic Delineation of ECG Charecteristic Waveforms", Yogendra Narain Singh and P Gupta, To appear Proc. of Sixth IASTED International Conference on Biomedical Engineering (BioMED 2008), February 13 - 15, 2008, Innsbruck, Austria.

Multimodal Biometrics 

The biometric systems rely on the evidence of any single biometric information may not achieve the desired performance due to noisy data, non-universality, lack of uniqueness of the chosen biometric trait. The performance of the biometric systems can be improved by combining the multiple biometric characteristics. These systems are referred as multimodal biometric systems. We are in stage to prepare a novel multibiometric system that fuses ECG with the face and the fingerprint biometrics. The advantage of this system is that it is robust enough aganist falsification to be enrolled, due to the vitality feature of the ECG signal. In addition, the system would achieve the optimum accuracy.

Publication (Refereed/Peer-Reviewed)

9."Quantitative Evaluation of Normalization Techniques of Matching Scores in Multimodal Biometric System", Yogendra Narain Singh and P Gupta, ICB 2007, Lecture Notes of Computer Science, Springer Verlag, LNCS 4642, pp. 574 - 583, 2007.

  

Computer Vision

Objects Detection & Actions Classification: In computer vision I am particularly interested in object recognition, event detection and actions classification in moving objects. The goal of this work is to efficiently detect the object categories such as bicycles, cars, motors, and dogs from moving scene. While doing actions classification the emphasis of this research is given on the recognition of human actions such as, drinking, smoking, running, walking etc. 

 

Books

10. "Discrete Mathematical Structures", Y N Singh,  Wiley India, Pvt. Ltd., New Delhi, First Edition, August, 2010.

11. "Mathematical Founadation of Computer Science", Yogendra Narain Singh, New Age International (P) Limited, New Delhi, First Edition 2005 (Revised Edition is in Press).