Personal identification method based on mobile phone pick-up head combining with human face recognition technique

Abstract

Disclosed is an identification method based on the combination of cell phone cameras and face recognition technique in the field of wireless network technique and pattern recognition. A mobile network is used to transfer easily cognizable information of to-be-identified persons and face image information collected by the cell phone cameras to a server which combines the data meeting the specifications of sex, age and the like in a data bank to a candidate data set according to the easily cognizable information. The sever identifies the face data in the candidate data set by employing principal component analysis and linear discrimination analysis for training, identifies image-transferred face areas and selects the most similar results, the number of which is set by users, from the identification results to transfer back to cell phones for final judgment by the users. The invention realizes the purposes of largely reducing cost and difficulty and increasing speed and accuracy of identification.

Description

Technical field [0001] The invention relates to a method in the field of image recognition technology, in particular to an identity recognition method based on a mobile phone camera combined with face recognition technology. Background technique [0002] The biometric identification method is a method that uses the biological characteristics of the human body to identify the person's identity. Traditional biological features include human face, fingerprints, human eye iris, voice print, smell and so on. Biometric identification has been widely used in different fields such as public security, banking, and private information preservation. Face detection refers to the detection of a face area in an image, and face recognition refers to the use of facial visual biometric information for identity authentication. Both of these technologies are important technologies in the field of pattern recognition. Face detection and recognition technology is widely used in many fields such as id...

AI Technical Summary

Problems solved by technology

However, this method requires too much information to be processed on the mobile phone, and the performance and energy consumption of the mobile phone is too high, which reduces the accuracy and real-time performance of the system.

On the other hand, there is currently no practical method for extracting features such as eyebrows and bones of the face described in this method, so its operability and realizability are not strong.

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