Study on the Application of Portrait Identification Technology in China's Entry and Exit Management

Abstract

Portrait recognition technology is widely used in China for its unique features of concealment, speed and reliability. This paper studies on the application of portrait recognition technology in the entry and exit management in China.On the basis of summarizing the principle, characteristics and working process of portrait recognition technology, the application status of this technology in the entry and exit management of China is analyzed, and the prospect of future application is proposed.The study of this paper has certain practical significance to improve the security management level of our country's entry and exit. Keywords—portrait recognition, the entry and exit .management, application Portrait recognition technology is widely used in the fields of file management, security verification, crime detection, import and export management, man-machine interaction and financial industry because of its high recognition, low cost of use and convenient sampling method [1].With the continuous development of China's big data era and information technology, portrait recognition technology will have a wider application.This paper studies on the application of portrait recognition technology in the entry and exit management in China.The study of this paper has certain practical significance to improve the security management level of our country's entry and exit. I. APPLICATION PRINCIPLE AND CHARACTERISTICS OF PORTRAIT RECOGNITION TECHNOLOGY The application of portrait recognition technology is mainly based on the powerful information technology. The computer is used to identify various features of portrait, and the real identity of the identified object is determined through the check calculation of relevant algorithms [2].The comparison between portrait recognition technology and other biometric identification technology is shown in table 1. TABLE 1 COMPARISON OF PORTRAIT RECOGNITION TECHNOLOGY AND OTHER BIOMETRIC IDENTIFICATION TECHNIQUES Comparative project Portrait recognition Fingerprint recognition Retina recognition Iris recognition Inspection Method Need to contact No Yes No No need Coordinator of the testee No Yes Yes Yes Acquisition rate fastest fast slow faster Copy or not No When static No No Reliability High High Highest Highest Convenient to use, Most convenient convenient inconvenient More convenient Extensive application widest wide Not wide wider From the comparison results in the table, it can be seen that portrait recognition technology mainly has the following prominent features: 1. Portrait recognition technology does not need to contact the detection object or cooperate with the detection object. Therefore, it is highly concealed. 2. Portrait recognition technology has the fastest data acquisition rate, low cost of equipment and facilities, and is very convenient and quick to use. 3. Portrait is not easy to copy, which makes portrait recognition technology highly reliable and strong traceability. II. THE APPLICATION WORKFLOW OF PORTRAIT IDENTIFICATION TECHNOLOGY IN CHINA'S ENTRY AND EXIT MANAGEMENT The portrait recognition system used in China's entry and exit management mainly includes front-end data acquisition system, image data processing system and data management query system.Front-end data acquisition system is mainly responsible for to be defined as characteristics of data collection, to make the image data integrity and to provide reliable analysis data, to the follow-up system tested must not wear mask, the tested environment of bright light, like shooting Angle is correct, these are for the application of this technology is put forward very high requirements.The image data processing system mainly optimizes the image data collected by the front end and extracts the main distinguishing features of portrait, so as to compare it with standard samples in the database.Data management query system is to compare and query the optimized data 8th International Conference on Education and Management (ICEM 2018) Copyright © 2019, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). Advances in Economics, Business and Management Research, volume 75