DocumentCode
2002152
Title
A review on 2D ear recognition
Author
Kurniawan, Fajri ; Shafry, M. ; Rahim, Mohamed
Author_Institution
Dept. of Comput. Graphics & Multimedia, Univ. Teknol. Malaysia, Johor Bahru, Malaysia
fYear
2012
fDate
23-25 March 2012
Firstpage
204
Lastpage
209
Abstract
Biometric systems have been implemented on numerous public facilities that able to enhance the security system. Nowadays, fingerprint and face are the most popular biometric. In addition, emerging technology has introduced potential biometric such as hand geometry, palm print, lips, teeth and vein. However, most of this biometric requires a special device to capture it. This will added more cost to implement the system. Ear is one of emerging biometric and proven having a great potential for identifying a person. Recently, a study shows human ear can easily captured just using an ordinary camera and it can be extracted from existing face profile image. In general, human ear is captured using a camera, after that the ear recognition system will attempt to identify it. Numerous methods have been proposed by the community to establish ear recognition system. Hence, this paper summarized, reviewed and critically discussed various recent advances in 2D ear recognition, in order to find out the research gap.
Keywords
ear; face recognition; fingerprint identification; palmprint recognition; 2D ear recognition; biometric system; face profile image; fingerprint recognition; hand geometry; human ear recognition; lips recognition; palm print; person identifciatiion; security system; teeth recognition; vein recognition; Ear; Face; Feature extraction; Humans; Image recognition; Image segmentation; Principal component analysis; 2D image; critical review; ear recognition; segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and its Applications (CSPA), 2012 IEEE 8th International Colloquium on
Conference_Location
Melaka
Print_ISBN
978-1-4673-0960-8
Type
conf
DOI
10.1109/CSPA.2012.6194719
Filename
6194719
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