Design And Implementation Of Embedded System For Human Face Recognition On ARM11

As a biological feature identification technology,face recognition technology has the advantages of convenient use, difficult to counterfeit,high precision and speed etc.. But the traditional face recognition systems are based on PC,this system has a lot of defects in the use of the occasion and cost. With the development of embedded technology.Now small, convenient and practical, low cost embedded system platform has strong data processing ability.Embedded face recognition will become the mainstream of future research.The purpose of this paper is to design a face recognition with high accuracy and stability.For this,article has done the following work. The first is to build a system platform, In order to make up for the less operational capability of ARM9, and lack of high prices ARM+DSP system. This design uses a development board tiny6410based on ARM11and the USB camera as the hardware platform of the system. Then i have transplanted Linux operating system,Qt graphic interface and Opencv computer vision library. And then i introduce the implementation process of the embedded face recognition system.The principle,method and the implementation procedure of mage capture and format conversion module,face detection module,face image preprocessing module and face recognition module is introduced.And design of the whole system is completed.The system was tested,and the test shows that the expected design is achieved.At last for the photo deception problems.The anti-photo detection method which is based on blinking eye detection and the changing of eye vision are raised.And experiment is done and the expected result is obtained.The result shows that the system can distinguish the photo and the real person.