期刊名称：TELKOMNIKA (Telecommunication Computing Electronics and Control)
印刷版ISSN：2302-9293
出版年度：2018
卷号：16
期号：2
页码：739-746
DOI：10.12928/telkomnika.v16i2.7418
语种：English
出版社：Universitas Ahmad Dahlan
其他摘要：This paper presents 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 dominant frequency content of sub-face, is extracted by zoned discrete cosine transforms (DCT). While the global information, which also is dominant frequency content and shape information of whole face, is extracted by DCT and by hu-moment. Therefore, face descriptor has rich information of face image which tends to provide good performance on 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).
