Journal of Jilin University(Information Science Ed ›› 2016, Vol. 34 ›› Issue (1): 127-133.

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Embedded Terminal for Secure Authentication Based on Facial Features

WANG Yuhang, CHENG Min, LI Huikun, SONG Zhanwei   

  1. College of Electronic Science and Engineering, Jilin University, Changchun 130012, China
  • Received:2015-04-28 Online:2016-01-25 Published:2016-05-10

Abstract:

According to the problems exist in the PC platform of large volume, high-power, high cost and poor portability, the author design an embedded terminal for secure authentication based on facial features. I choose ARM11 development board as the hardware platform, Linux operating system as the software platform, and use transplant Qt graphical interface library and Opencv computer vision library on the platform. Face detection was achieved by AdaBoost algorithm, face recognition was achieved by PCA ( Principal Component Analysis) algorithm. The test results show that this terminal can realize the function of face recognition, recognition accuracy is high and recognition time is short, the desired goal is achieved.

Key words: secure authentication, embedded terminal, ARM11 development board, Linux operating system, face detection, face recognition

CLC Number: 

  • TP391. 4