摘要
现实应用中人脸识别系统因距离环境等不可控因素影响，无法满足识别精度的要求。为了解决这个问题，提出一种基于伽马变换和对数变换的一种非线性变换算法可有效实现的图像增强即G—Log算法。经测试人脸图像经不同的图像增强模块，相同的人脸检测、人脸对齐和识别模块，G—Log方法实现了较其他对比方法最好的效果，150米、100米和60米的识别准确率分别由70％、89％、95％提升到95％、98％、98％。
It is difficult to meet the requirement of identification accuracy owing to the influence of distance context and other uncontrollable factors in the practical application of face recognition system. It puts forward G - Log algo- rithm, a kind of nonlinear transformation algorithm, which will effectively enhance images, based on the gamma transfer and logarithm transformation to solve this problem. It was tested that G - Log method got the best results compared with other image enhancement modules：same face detection, face alignment and recognition module. The accuracy of recognition has been greatly improved up to 98% ,98% ,95% from original 95% ,89% ,70% for 60 - , 100 - , 150 -meter images after processed by G -Log method .
作者
谢娜
肖敏敏
施晨光
XIE Na;XIAO Ming - ming;SHI Chen - guang(School of Mechanical Electrical and Information Engineering, Shaanxi Energy Institute ,Xianyang 712000, China)
关键词
人脸识别
图像增强
远距离
Face recognition
image enhancement
long - distance
