| 英文摘要 | Face Recognition is a technology which can analyze face images by computer, extract digital information of face feature and identify the face. In recent years, with the continuous development of computer technology and pattern recognition theory, face recognition has increasingly gained the attention of academia and industry. Face recognition technology is widely used in public security, Internet, digital media and other fields. In practical engineering applications, Face recognition often requires varying degrees of integration with other business systems. The content of this thesis is to build a complete, convenient, stable face recognition service interface system for the demand of public security. Growing demand for face recognition technology in the field of public security, the typical public security applications such as online pursuit, inspection documents and customs clearance need to integrate with face recognition to enhance the function of system and improve work efficiency. REST (Representational State Transfer) is a low coupling, high performance, ease of use and platform-independent software architecture. It provides us with a new integration and application development perspectives and methods. Compared to the other system integration technology, REST has obvious characteristics and advantages. In this thesis, author first introduced face recognition technology, REST architecture, and a detailed analysis of the necessity of using REST, as well as comparison with other integration technology. Then, according to the actual integration requirements and the face recognition application research, author puts forward his own solutions, and designs a REST-style face recognition Web APIs system. The thesis elaborates the overall system design, including in the software requirements analysis, outline design, detailed design, data interface design, test plan and so on. Finally, the author describes the realization of the entire system, and the integrated effect of the test in the actual project. The test results show that the given system solutions can be quite normal to run in the actual project. The subject provides an efficient and convenient solutions and ideas for the integrated application of face recognition technology. |
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