Design And Implementation Of Entrance Guard System Based On Face Recognition

With the rapid development of world economy,enterprises related to intellectual property protection has been the focus of attention in modern society.However,enterprise internal often has the non-interior personnel into the enterprise In the daily economic activities.Therefore,how to qualified personnel dynamic area by using the method of a certain will become an important method to protect the safety of their own core competitiveness.But with the rapid development of modern biotechnology industry and the increasingly close contact with the computer field,the combination of biology and computer method has been many popular direction of entrance guard system research.As a special biological recognition method,face recognition system compared with other identification system with strong specificity,recognition error is small,easy to use and good universality,etc.in many industries has been widely research and application.This article's main research work is introduced on the history and development of face recognition technology at home and abroad,listing the currently existing face recognition methods,using the YUV color model of face localization early modeling and image processing,using image preprocessing techniques to improve and enhance the quality of the face image,and processing the enhanced image wavelet transform technology in low frequency decomposition in the level of operation and combined with principal component analysis(PCA)algorithm.On the hardware system we have adopted the digital signal processor DM642 chip,and in the end,we design and implement a entrance guard system for key sites.Digital signal processor(DSP)achieves speed of image processing algorithm in practical applications much faster than general processor,and it has the reliability ofembedded software development,strong real-time performance,small volume and high speed,etc.DM642 is developed by TI company specializing in video collection of image processing of digital signal processor chip,and the face recognition algorithm of this system is mainly on DM642 chip implementation.This subject adopts standard test library on the matlab simulation platform of face recognition algorithm repeatedly verification practice,and verifies the real-time and accuracy of the algorithm can meet the requirements of embedded real-time system.And through the comprehensive test the article verified the performance of the system.The experiment proved that the system performed well on face recognition speed and accuracy,and it achieved the desired requirements.