TY - GEN
T1 - Multi-modality face recognition
T2 - 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
AU - Supriy, Musica
AU - Singh, Sanjay
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/30
Y1 - 2017/11/30
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85042771057&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85042771057&partnerID=8YFLogxK
U2 - 10.1109/ICACCI.2017.8125985
DO - 10.1109/ICACCI.2017.8125985
M3 - Conference contribution
AN - SCOPUS:85042771057
VL - 2017-January
T3 - 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
SP - 1080
EP - 1084
BT - 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 13 September 2017 through 16 September 2017
ER -
