DocumentCode :
2378234
Title :
An improved eye feature extraction algorithm based on deformable templates
Author :
Kuo, Paul ; Hannah, John
Author_Institution :
Inst. of Digital Commun., Edinburgh Univ., UK
Volume :
2
fYear :
2005
fDate :
11-14 Sept. 2005
Abstract :
In this paper, an improved method for eye extraction using deformable templates is proposed. This new method overcomes the shortcomings of traditional deformable template techniques for eye extraction, such as unexpected shrinking of the template and complexity of the updating procedure, while offering higher flexibility and accuracy A new size term and eye corner finder are introduced to prevent over-shrinking and improve speed and accuracy of fitting. The eye features are fitted in a pre-set order to reduce the complexity of the updating procedure and increase the flexibility. We demonstrate the success of this new method by extracting eye features in real images.
Keywords :
eye; feature extraction; deformable templates; eye corner finder; eye feature extraction algorithm; over-shrinking prevention; unexpected shrinking; Biometrics; Digital communication; Eyelids; Eyes; Face recognition; Feature extraction; Humans; Iris; Principal component analysis; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
Type :
conf
DOI :
10.1109/ICIP.2005.1530278
Filename :
1530278
Link To Document :
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