JOURNAL ARTICLE

"Non-locality" Preserving Projection and Its Application to Palmprint Recognition

Abstract

This paper develops a "non-locality" preserving projection (NLPP) technique for feature extraction. In contrast to the existing locality preserving projection (LPP), a technique based on the characterization of the local scatter, NLPP is a method based on the characterization of the non-local scatter. Intuitively, NLPP should be more effective than LPP when the non-local information plan a dominant role in discrimination. NLPP is tested using the PolyU palmprint database and the experimental results show that NLPP outperforms PCA, LDA and LPP

Keywords:
Locality Artificial intelligence Projection (relational algebra) Pattern recognition (psychology) Computer science Contrast (vision) Feature extraction Computer vision Principal component analysis Feature (linguistics) Algorithm

Metrics

4
Cited By
0.00
FWCI (Field Weighted Citation Impact)
5
Refs
0.20
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Biometric Identification and Security
Physical Sciences →  Computer Science →  Signal Processing
Face and Expression Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Handwritten Text Recognition Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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