Titlebook: Biometric Recognition; 6th Chinese Conferen Zhenan Sun,Jianhuang Lai,Tieniu Tan Conference proceedings 2011 The Editor(s) (if applicable) a

秘密會議

Finger Knuckleprint Based Recognition System Using Feature Trackingknuckleprint images. Highly distinctive texture patterns from the enhanced knuckleprint images are extracted for better classification. It has proposed a distance measure between two knuckleprint images. This system has been tested on the largest publicly available Hong Kong Polytechnic University (

友好關系

A Preliminary Study of Handprint Synthesis we proposed a set of statistical models for the main features in whole handprints, including hand contour, major creases, and ridge patterns. Based on these statistical models, a handprint synthesis algorithm is proposed, which is useful for technology evaluation due to the lack of high resolution

Affiliation

A Survey of On-line Signature Verificationploits dynamic features which traditional off-line signature fails to preserve. This paper presents a review of researches on on-line signature verification during recent years and lists some of the works that provide promising results.

和藹

Amorous

平

A Sparse Local Feature Descriptor for Robust Face Recognitiontal results on AR database validates our analysis of SIFT. Comparison experiments on both AR and FERET database show that SLFD outperforms the SIFT, LBP based methods and also some other existing face recognition algorithms in terms of recognition accuracy.

不持續(xù)就爆

Biometric Recognition978-3-642-25449-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

欲望小妹

https://doi.org/10.1007/978-981-19-5280-7 we proposed a set of statistical models for the main features in whole handprints, including hand contour, major creases, and ridge patterns. Based on these statistical models, a handprint synthesis algorithm is proposed, which is useful for technology evaluation due to the lack of high resolution handprint databases in the public domain.

MURKY

L2 Motivation and Pragmatic Awareness,ploits dynamic features which traditional off-line signature fails to preserve. This paper presents a review of researches on on-line signature verification during recent years and lists some of the works that provide promising results.

Dri727