Bio security using face recognition for industrial use

Authors:
Sadi Vural. Hironori Yamauchi
Affiliations:
Science and Information Engineering, Ritsumeikan University, Shiga-ken, Japan
Venue:
AIC'06 Proceedings of the 6th WSEAS International Conference on Applied Informatics and Communications
Year:
2006

Citing 2
Cited 0

Pose-Invariant Face Recognition with Parametric Linear Subspaces

FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Scale-Adaptive Face Detection and Tracking in Real Time with SSR Filters and Support Vector Machine*This paper was presented at ACCV 2004.

IEICE - Transactions on Information and Systems

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Abstract

Current systems for face recognition techniques often use either SVM or adaboost techniques for face detection part and use PCA for face recognition part. In this paper, we offer a novel method for not only a powerful face detection system based on Six-segment-filters((SSR) and adaboost learning algorithms but also for a face recognition system. A new exclusive face detection algorithm has been developed and connected with the recognition algorithm. As a result of it, we obtained an overall high-system performance compared with current systems. The proposed algorithm was tested on CMU, FERET, UNIBE, MIT face databases and significiant performance has obtained.