TY - JOUR A2 - Wang, Wuhong AU - Zhao, Hong AU - Liang, Xi-Jun AU - Yang, Peng PY - 2013 DA - 2013/11/10 TI - Research on Face Recognition Based on Embedded System SP - 519074 VL - 2013 AB - Because a number of image feature data to store, complex calculation to execute during the face recognition, therefore the face recognition process was realized only by PCs with high performance. In this paper, the OpenCV facial Haar-like features were used to identify face region; the Principal Component Analysis (PCA) was employed in quick extraction of face features and the Euclidean Distance was also adopted in face recognition; as thus, data amount and computational complexity would be reduced effectively in face recognition, and the face recognition could be carried out on embedded platform. Finally, based on Tiny6410 embedded platform, a set of embedded face recognition systems was constructed. The test results showed that the system has stable operation and high recognition rate can be used in portable and mobile identification and authentication. SN - 1024-123X UR - https://doi.org/10.1155/2013/519074 DO - 10.1155/2013/519074 JF - Mathematical Problems in Engineering PB - Hindawi Publishing Corporation KW - ER -