基于OpenCV的人脸识别系统设计与实现
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重庆工程学院

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TP394.1

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国家自然科学基金(61401052)资助;重庆市教委科学技术研究计划项目基金(KJQN202001907)资助。


Design and implementation of face recognition system based on OpenCV
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    摘要:

    随着身份识别智能化,人脸检测和识别技术得到了很大发展,由于遮挡、脸的姿态、脸的表情、图像受光照条件影响及图像分辨率低等因素制约,人脸识别率始终不高,影响其性价比,导致市场推广慢。选择使用OpenCV图像采集模块作为MCU,设计了摄像头拍摄视频中的人分别进行人脸录入和人脸识别系统,能够实现被测人人脸识别和身份不符报警功能。该设计使用摄像头模块系统进行图像采集,得到不同的表情以及不同的状态图像,通过局部二值模式直方图LBPH算法处理,进一步人脸面部特征提取对比,从而得到特征差异度,识别人脸。本系统通过多次验证并实现人脸识别及判别功能,具有灵敏度高、稳定性强等特点。

    Abstract:

    With the intelligent identity recognition, face detection and recognition technology has been greatly developed, due to the blocking, face posture, face expression, image is affected by lighting conditions and low image resolution factors, face recognition rate is not high, affecting its cost performance, leading to slow market promotion.Opencv image acquisition module is selected as MCU, and the system is designed to record faces and recognize faces of people in the video shot by the camera respectively, which can realize the face recognition and identity mismatch alarm function of people under test.The design uses the camera module system for image acquisition, get different expressions and different state images, through the local binary mode histogram LBPH algorithm processing, further face facial feature extraction and comparison, so as to get the feature difference degree, face recognition. This system has been verified for many times and realized face recognition and discrimination functions, with high sensitivity, strong stability and other characteristics.

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  • 收稿日期:2021-06-28
  • 最后修改日期:2021-09-28
  • 录用日期:2021-09-28
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