Investigating useful and distinguishing features around the eyelash region

Traditionally, iris recognition is always about analyzing and extracting features from iris texture. We proposed to investigate regions around eyelashes and extract useful information which helps us to perform ethnic classification. We propose an algorithm which is easy to implement and effective. F...

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Bibliographic Details
Published in2008 37th IEEE Applied Imagery Pattern Recognition Workshop pp. 1 - 6
Main Authors Yung-hui Li, Savvides, M., Tsuhan Chen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2008
Subjects
ASM
Biometrics
Data mining
ethnic classification
eyelash analysis
Eyelashes
Eyelids
Face recognition
Feature extraction
Image processing
Information analysis
Iris recognition
Linear discriminant analysis
soft biometrics
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Summary:Traditionally, iris recognition is always about analyzing and extracting features from iris texture. We proposed to investigate regions around eyelashes and extract useful information which helps us to perform ethnic classification. We propose an algorithm which is easy to implement and effective. First, we locate eyelash region by using ASM to model eyelid boundary. Second, we extract local patch around local landmarks. After image processing, we are able to separate eyelashes and extract features from the directions of eyelashes. Those features are descriptive and can be used to train classifiers. Experimental results show our method can successfully perform East-Asian/Caucasian classification up to 93% accuracy, which shows our proposed method is useful and promising.
ISBN:1424431255
9781424431250
ISSN:1550-5219
2332-5615
DOI:10.1109/AIPR.2008.4906451