Presentation 2012-03-02
Iris Feature Extraction Based on Gray-Scale Morphological Skeleton
Nozomi HAYASHI, Akira TAGUCHI,
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Abstract(in English) Iris recognition is one of the most reliable biometric technologies. Iris feature extraction is a key issue in iris recognition. This paper proposes a novel method to extract the features of space domain from iris image, which uses grayscale morphological filtering. It is well known that the skeleton which shows the features of images is extracted from binary images by morphological filtering. The skeleton of gray scale images can be also extracted by gray-scale morphological filtering. In order to extract the features of the iris, we apply the gray-scale morphological filtering to the iris image and obtain its skeleton. The binary skeleton which is regarded as the iris code is obtained by threshold processing. The Hamming distance was employed for classification of iris codes. In the proposed method, the Hamming distance of intro class and inter class are separated completely.
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Keyword(in English) Iris / Identification / Gray-scale morphological filtering / Morphological Skeleton
Paper # SIS2011-69
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Committee SIS
Conference Date 2012/2/23(1days)
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Registration To Smart Info-Media Systems (SIS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Iris Feature Extraction Based on Gray-Scale Morphological Skeleton
Sub Title (in English)
Keyword(1) Iris
Keyword(2) Identification
Keyword(3) Gray-scale morphological filtering
Keyword(4) Morphological Skeleton
1st Author's Name Nozomi HAYASHI
1st Author's Affiliation Department of Biomedical Engineering, Tokyo City University()
2nd Author's Name Akira TAGUCHI
2nd Author's Affiliation Department of Biomedical Engineering, Tokyo City University
Date 2012-03-02
Paper # SIS2011-69
Volume (vol) vol.111
Number (no) 457
Page pp.pp.-
#Pages 6
Date of Issue