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- Title
A robust 2D-Cochlear transform-based palmprint recognition.
- Authors
Chaudhary, Gopal; Srivastava, Smriti
- Abstract
In this paper, a noise-robust palmprint recognition system is discussed with a novel feature extraction technique: two-dimensional Cochlear transform (2D-CT) based on the textural analysis of image sample. Orthogonality of 2D-CT is proved which shows the high robustness of the proposed 2D-CT to noise. To validate the proposed feature extraction technique, palmprint recognition has been tested on both left and right palm of IITD database of 230 persons, CASIA palmprint database of 312 persons, polyU palmprint database of 386 persons and achieved high accuracy. The proposed 2D-CT method is compared with discriminative and robust competitive code, double orientation code, competitive coding, ordinal coding, Gabor transform, Gaussian membership-based features, absolute average deviation and mean features. Further, K-nearest neighbor is used to validate the matching stage. The results show superiority of the proposed method over other feature extraction methods.
- Subjects
PALMPRINT recognition; FEATURE extraction; GABOR transforms; IMAGE analysis
- Publication
Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2020, Vol 24, Issue 3, p2311
- ISSN
1432-7643
- Publication type
Article
- DOI
10.1007/s00500-019-04062-8