Multi-modality face recognition

An information theoretic approach

Musica Supriy, Sanjay Singh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Face recognition has gained a great importance in recent years due to the increasing demands of the realworld applications. The modality-independent face recognition also known as heterogeneous face recognition is useful in many applications. Here modality refers to different lighting scenarios in which the picture of the subject is taken. Modality-independent face recognition addresses the issues of low illumination, discrepancies based on the modalities that is recognition of one image from the other image captured from two different sources for the same subject. To address this issue we have made use of mutual information concept. The mutual information between input and gallery images has been used to find the appropriate match between multi-modal images. The idea here is to find the appropriate match between a sketch and a photograph of the same subject. The proposed methodology is useful in crime investigation, law enforcement and for surveillance purposes.

Original languageEnglish
Title of host publication2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1080-1084
Number of pages5
Volume2017-January
ISBN (Electronic)9781509063673
DOIs
Publication statusPublished - 30-11-2017
Event2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 - Manipal, Mangalore, India
Duration: 13-09-201716-09-2017

Conference

Conference2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
CountryIndia
CityManipal, Mangalore
Period13-09-1716-09-17

Fingerprint

Face recognition
Lighting
Crime
Law enforcement

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

Cite this

Supriy, M., & Singh, S. (2017). Multi-modality face recognition: An information theoretic approach. In 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 (Vol. 2017-January, pp. 1080-1084). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACCI.2017.8125985
Supriy, Musica ; Singh, Sanjay. / Multi-modality face recognition : An information theoretic approach. 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1080-1084
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Supriy, M & Singh, S 2017, Multi-modality face recognition: An information theoretic approach. in 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1080-1084, 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017, Manipal, Mangalore, India, 13-09-17. https://doi.org/10.1109/ICACCI.2017.8125985

Multi-modality face recognition : An information theoretic approach. / Supriy, Musica; Singh, Sanjay.

2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. p. 1080-1084.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Supriy M, Singh S. Multi-modality face recognition: An information theoretic approach. In 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. Vol. 2017-January. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1080-1084 https://doi.org/10.1109/ICACCI.2017.8125985