首页> 外文会议> >Illumination Invariant Elastic Bunch Graph Matching for Efficient Face Recognition
【24h】

Illumination Invariant Elastic Bunch Graph Matching for Efficient Face Recognition

机译:照明不变弹性束图匹配,有效识别人脸

获取原文

摘要

This paper proposes a system which can handle illumination problem of face recognition systems by using "Retinex and color constancy" algorithm. The Retinex and color constancy approach has been plugged with Elastic Bunch Graph Matching (EBGM). The proposed system has been tested on IITK database having more than 1000 face images. The experimental results demonstrate that performance of the proposed system is superior to the known systems. The overall accuracy has shown an increase of 3.14% as compared to the known EBGM based recognition system without using Retinex and Color Constancy method.
机译:本文提出了一种可以使用“ Retinex和颜色恒定性”算法处理人脸识别系统的照明问题的系统。 Retinex和颜色恒定性方法已插入弹性束图匹配(EBGM)。所提出的系统已经在IITK数据库上进行了测试,该数据库具有1000多个面部图像。实验结果表明,所提出系统的性能优于已知系统。与不使用Retinex和色彩稳定方法的已知基于EBGM的识别系统相比,总体准确性提高了3.14%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号