The Research of Ear Identification Based On Improved Algorithm of Moment Invariant

In this paper, the processing of ear identification is introduced in brief, and after making an improvement of moment invariants algorithm, six feature vectors are distilled by the method of high-order moment invariants. By using two kinds of algorithm respectively, ear image is processed to identif...

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Bibliographic Details
Published in2010 Third International Conference on Information and Computing Vol. 1; pp. 58 - 60
Main Authors Xiu-qing Wang, Hong-yang Xia, Zhong-li Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2010
Subjects
Ear
ear recognition
Educational institutions
Feature extraction
Fingerprint recognition
Humans
Image processing
image processing feature identification
Image recognition
improved algorithm of moment invariant
Iris
Space technology
Stability
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ISBN9781424470815
1424470811
ISSN2160-7443
DOI10.1109/ICIC.2010.21

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Summary:In this paper, the processing of ear identification is introduced in brief, and after making an improvement of moment invariants algorithm, six feature vectors are distilled by the method of high-order moment invariants. By using two kinds of algorithm respectively, ear image is processed to identification. In ear identification, we can learn that the high-order moment invariants in the improved algorithm have the feature of invariance in translation, rotation and scale change. Finally, with the application of a BP artificial neutral network to identify 60 ear images, we get a good experiment result of 91.8% accuracy.
ISBN:9781424470815
1424470811
ISSN:2160-7443
DOI:10.1109/ICIC.2010.21