HUANG, YU TING
National Taipei University of Education Graduate School of Computer Science Student
Email：happysweeting@gmail.com
LIU, YUAN CHEN
National Taipei University of Education Graduate School of Computer Science Professor
Email：liu@tea.ntue.edu.tw
Abstract
With continuous progress and development of science and technology, rapidity and accuracy has become the essential features of biometric identification. Biometric identification of objects than there are many different kinds of methods to do objects comparison in biometric identification, such as shape detection and edge detection, etc. However, face recognition is a typical integrated application of image analysis, image decomposition and classification. Since the face is the most complex biological feature which requires the widest variety of analysis types, the current solution for this is to find stable reference point for objects comparison.
This paper did face recognition experiment through B2DPCA, and the result show that the proposed methods in our study effectively accelerate the rate of face recognition, and could help the teachers to do better control of the attendance rate when applied in online course attendance system.
Keywords :Biological feature, Face recognition, Online course attendance system