Real Time Face Recognition Based on Face Descriptor and Its Application

This paper presents a real time face recognition based on face descriptor and its application for door locking. The face descriptor is represented by both local and global information. The local information, which is the dominant frequency content of sub-face, is extracted by zoned discrete cosine transforms (DCT). While the global information, which also is the dominant frequency content and shape information of the whole face, is extracted by DCT and by Hu-moment. Therefore, face descriptor has rich information about a face image which tends to provide good performance for real time face recognition. To decrease the dimensional size of face descriptor, the predictive linear discriminant analysis (PDLDA) is employed and the face classification is done by kNN. The experimental results show that the proposed real time face recognition provides good performances which indicated by 98.30%, 21.99%, and 1.8% of accuracy, FPR, and FNR respectively. In addition, it also needs short computational time (1 second).

[1]  A. Thamizharasi.  An Illumination Invariant Face Recognition by Selection of DCT Coefficients , 2016 .

[2]  Muhammet Baykara,et al.  Real time face recognition and tracking system , 2013, 2013 International Conference on Electronics, Computer and Computation (ICECCO).

[3]  Rama Chellappa,et al.  Human and machine recognition of faces: a survey , 1995, Proc. IEEE.

[4]  Daniel Scholten,et al.  A Face Recognition Algorithm Based on Improved Contourlet Transform and Principle Component Analysis , 2016 .

[5]  Adharul Muttaqin,et al.  2015 Implementation of K-Nearest Neighbors Face Recognition on Low-power , 2015 .

[6]  Leo Marco,et al.  Accuracy on a subset of the Extended Yale Face Database B. , 2014 .

[7]  I Gede Pasek Suta Wijaya,et al.  Real time face recognition using DCT coefficients based face descriptor , 2016, 2016 International Conference on Informatics and Computing (ICIC).

[8]  Andy Harter,et al.  Parameterisation of a stochastic model for human face identification , 1994, Proceedings of 1994 IEEE Workshop on Applications of Computer Vision.

[9]  Andy Hidayat Jatmika,et al.  Real time face recognition engine using compact features for electronics key , 2016, 2016 International Seminar on Intelligent Technology and Its Applications (ISITIA).

[10]  Vijaya Kumar,et al.  Face Recognition using Multi Region Prominent LBP Representation , 2016 .

[11]  Hla Myo Tun,et al.  Automatic Door Access System Using Face Recognition , 2015 .

[12]  Keiichi Uchimura,et al.  Face Recognition Based on Incremental Predictive Linear Discriminant Analysis , 2013 .

[13]  Paul A. Viola,et al.  Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.