Ear biometrics: a survey of detection, feature extraction and recognition methods

被引:136
|
作者
Pflug, A. [1 ]
Busch, C. [1 ]
机构
[1] CASED, Hsch Darmstadt, D-64295 Darmstadt, Germany
关键词
IMAGES; FACE;
D O I
10.1049/iet-bmt.2011.0003
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The possibility of identifying people by the shape of their outer ear was first discovered by the French criminologist Bertillon, and refined by the American police officer Iannarelli, who proposed a first ear recognition system based on only seven features. The detailed structure of the ear is not only unique, but also permanent, as the appearance of the ear does not change over the course of a human life. Additionally, the acquisition of ear images does not necessarily require a person's cooperation but is nevertheless considered to be non-intrusive by most people. Owing to these qualities, the interest in ear recognition systems has grown significantly in recent years. In this survey, the authors categorise and summarise approaches to ear detection and recognition in 2D and 3D images. Then, they provide an outlook over possible future research in the field of ear recognition, in the context of smart surveillance and forensic image analysis, which they consider to be the most important application of ear recognition characteristic in the near future.
引用
收藏
页码:114 / 129
页数:16
相关论文
共 50 条
  • [31] Feature Extraction Methods in Language Identification: A Survey
    Deshwal, Deepti
    Sangwan, Pardeep
    Kumar, Divya
    WIRELESS PERSONAL COMMUNICATIONS, 2019, 107 (04) : 2071 - 2103
  • [32] Feature Extraction Methods in Language Identification: A Survey
    Deepti Deshwal
    Pardeep Sangwan
    Divya Kumar
    Wireless Personal Communications, 2019, 107 : 2071 - 2103
  • [33] A survey of face detection, extraction and recognition
    Lu, YZ
    Zhou, JL
    Yu, SS
    COMPUTING AND INFORMATICS, 2003, 22 (02) : 163 - 195
  • [34] Fusion of face and iris biometrics using local and global feature extraction methods
    Eskandari, Maryam
    Toygar, Onsen
    SIGNAL IMAGE AND VIDEO PROCESSING, 2014, 8 (06) : 995 - 1006
  • [35] Fusion of face and iris biometrics using local and global feature extraction methods
    Maryam Eskandari
    Önsen Toygar
    Signal, Image and Video Processing, 2014, 8 : 995 - 1006
  • [36] Ear Biometrics Using Deep Learning: A Survey
    Booysens, Aimee
    Viriri, Serestina
    APPLIED COMPUTATIONAL INTELLIGENCE AND SOFT COMPUTING, 2022, 2022
  • [37] Survey on Acoustic Modeling and Feature Extraction for Speech Recognition
    Garg, Anjali
    Sharma, Poonam
    PROCEEDINGS OF THE 10TH INDIACOM - 2016 3RD INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT, 2016, : 2291 - 2295
  • [38] A Rotation Invariant Feature Extraction for 3D Ear Recognition
    Li, Yiliang
    Mu, Zhichun
    Zeng, Hui
    2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2013, : 3671 - 3675
  • [39] Perspective methods of human identification: ear biometrics
    Choras, Michal
    OPTO-ELECTRONICS REVIEW, 2008, 16 (01) : 85 - 96
  • [40] Performance Analysis of Fusion methods for EAR Biometrics
    Panchakshari, P.
    Tale, Sarika
    2016 IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ELECTRONICS, INFORMATION & COMMUNICATION TECHNOLOGY (RTEICT), 2016, : 1191 - 1194