Research And Development Of Face Recognition Software Based On IOS

With the continuous development of mobile Internet and mobile phone manufacturing technology, mobile phones play an increasingly important role in people's daily life and work. Smart phones offer more diverse functions, people may use social software to communicate with other people, buy goods in the online stores, Use financial software transfers to others, as well as pay back credit cards. Smart phones are becoming more interactive and efficient, people can use the camera to scan QR-code to extract the text information, use the fingerprint authentication identity information, the use of sound waves to identify cash payments, collecting audio information for identifying specific song.Face recognition as an important branch of computer vision, has played an important role in a lot of platforms. Employees can sign in with the help of face recognition machine. Shopping mall may statistics customer's gender and age distribution by analyzing faces in the video. Public security organs gain the ability to track the whereabouts of criminals by analyzing faces in surveillance video.Apply Face recognition technology in the mobile client can make our mobile phones more intelligent. It may help us identity verification, input information, managing diverse information in life and work. Face recognition technology has broad application prospects in the mobile terminal.This paper studies the development of face recognition system based on the iOS platform. OpenCV computer vision library is introduced into the project to help process the basic operation. The system mainly includes data acquisition module, face detection module, face recognition module and data storage module. Each module is organized using MVC pattern. Unit testing for key modules is performed with the help of XCTest framework. The experimental environment includes adequate illumination and inadequate illumination. The result shows that the system works well when the light is sufficient and need to be further improved when the light is not sufficient.