Title
Improved competitive code for palmprint recognition using simplified Gabor filter
Abstract
This paper presents a fast algorithm for extracting features using the Simplified Gabor (SG) for Competitive Coding-based palmprint recognition. The competitive code convolves the palmprint image with a bank of Gabor filters with different orientations. We use a simplified version of Gabor filters and an efficient algorithm for extracting features to modify the competitive code. Experimental results indicate that, using SG can achieve the verification accuracy similar to using common Gabor filters, while the runtime for feature extraction using SG is very fast compare to the original algorithm.
Year
DOI
Venue
2009
10.1007/978-3-642-04070-2_42
ICIC (1)
Keywords
Field
DocType
gabor filter,palmprint recognition,common gabor filter,improved competitive code,palmprint image,simplified gabor,different orientation,fast algorithm,competitive code,efficient algorithm,original algorithm,feature extraction
Pattern recognition,Gabor wavelet,Computer science,Coding (social sciences),Feature extraction,Gabor filter,Artificial intelligence,Machine learning
Conference
Volume
ISSN
ISBN
5754
0302-9743
3-642-04069-1
Citations 
PageRank 
References 
4
0.42
12
Authors
4
Name
Order
Citations
PageRank
wei jing1143.21
Wei Jia2102553.39
Hong Wang3419.15
Danfeng Zhu493.57