A Survey on Ear Biometrics

A Survey on Ear Biometrics
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DOI:
10.1145/2431211.2431221
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发表时间:
2013-02-01
影响因子:
16.6
通讯作者:
Nixon, Mark S.
Nixon, Mark S.
中科院分区:
计算机科学1区
文献类型:
--
作者:
Abaza, Ayman;Ross, Arun;Nixon, Mark S.

文献摘要

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最近在文献中认识到人们的注意力很大。有几个原因解释了这一趋势:首先,耳朵识别并不遭受与其他非接触式生物识别(例如面部识别)相关的一些问题;其次,在多姿势识别的背景下,它是最有前途的候选人与面部结合的候选人。第三,耳朵可用于监视视频中的人类识别,其中可能完全或部分遮住面部。此外,耳朵似乎随着年龄的增长而降低。即使当前的耳朵检测和识别系统达到了一定水平的成熟度,但它们的成功仅限于受控的室内条件。除了照明的变化外,其他开放研究问题还包括头发遮挡,耳册取证,耳朵对称性,耳朵分类和耳朵个性。这篇文章对在耳朵检测和识别中进行的研究进行了详细的调查。它提供了对现有文献的最新审查,该文献揭示了不仅在该领域工作的人,而且还为那些可能利用这种新方法的人提供了最新审查。此外,它提供了有关一些未解决的耳朵识别问题以及可用于研究人员的耳朵数据库的见解。
Recognizing people by their ear has recently received significant attention in the literature. Several reasons account for this trend: first, ear recognition does not suffer from some problems associated with other non-contact biometrics, such as face recognition; second, it is the most promising candidate for combination with the face in the context of multi-pose face recognition; and third, the ear can be used for human recognition in surveillance videos where the face may be occluded completely or in part. Further, the ear appears to degrade little with age. Even though current ear detection and recognition systems have reached a certain level of maturity, their success is limited to controlled indoor conditions. In addition to variation in illumination, other open research problems include hair occlusion, earprint forensics, ear symmetry, ear classification, and ear individuality.This article provides a detailed survey of research conducted in ear detection and recognition. It provides an up-to-date review of the existing literature revealing the current state-of-art for not only those who are working in this area but also for those who might exploit this new approach. Furthermore, it offers insights into some unsolved ear recognition problems as well as ear databases available for researchers.