基于处理直方图和纯相位相关(POC)的人脸识别

Fazl-e-Basit, M. Javed, U. Qayyum
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引用次数: 13

摘要

本文提出了一种基于人脸的直方图处理和基于相位相关的人脸识别技术相互结合的自动人脸识别技术,以获得有效的识别精度。第一阶段采用基于bin的直方图方法对人脸进行预处理,提取本质上是旋转不变的初步结果;第二阶段使用基于POC的匹配技术对人脸模式进行验证,以获得既符合分布又符合内容的精确结果。采用基于bin的直方图方法进行有效的预处理,过滤掉不匹配,降低了POC的整体复杂度。在ORL数据库上获得的实证结果表明,该方法的识别准确率达到99.5%,与其他人脸识别方案具有可比性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
"Face Recognition using Processed Histogram and Phase-Only Correlation (POC)"
This paper proposes an automatic face recognition technique using mutual combination of bin-based histogram processing and phase-only correlation (POC) - based techniques to obtain effective recognition accuracy. The first phase preprocesses the faces with bin-based histogram approach and extracts the preliminary results which are rotation invariant in nature. The second phase verifies the face patterns with POC- based matching technique in order to obtain the exact results which are the same not only distribution-wise but also content- wise. Time effective preprocessing by bin-based histogram approach filters out the mismatches and helps in reduction of the overall complexity of POC. The empirical results obtained on ORL database shows the recognition accuracy of 99.5%, which is very promising and is comparable with any other face recognition scheme.
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