基于相位匹配算法的人耳识别

M. Arunachalam
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引用次数: 1

摘要

在这个现代时代,生物识别在个人身份验证过程中发挥着至关重要的作用。从广义上讲,生物特征分为解剖特征和行为特征。在众多生物识别技术中,本文重点研究了新兴的生物识别技术——耳朵生物识别技术。本文提出了用于耳朵识别的纯相位相关(POC)和带限相位相关(BLPOC)。利用二维离散傅立叶变换(DFT)和自相关函数计算输入和查询耳朵图像之间的相似性,获得了相位信息。最后,基于图像匹配的阶段已经成功地实现了人类耳朵识别工作。利用印度理工学院德里耳库对该算法进行了实验验证。
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The human ear recognition based on phase-based matching algorithm
In this modern era, biometric play a vital role in authentication process for an individual identification. Broadly biometrics has been classified into anatomical and behavioral characteristics. Among the many biometrics, this paper focus on new emerging biometric named as Ear biometrics. In this paper, Phase-only Correlation (POC) and Band-limited Phase Only Correlation (BLPOC) has been proposed for ear recognition. The phase information has been obtained by calculating similarity between input and query ear image using 2D-Discrete Fourier Transform (DFT) and auto correlation function. Finally the phase-based on image matching have being success implemented for human ear recognition endeavor. The experimental resultant effect of proposed algorithm has been performed using IIT Delhi ear database.
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