Palmprint Identification Algorithm Using Hu Invariant Moments and Otsu Binarization

Authors:
Jin Soo Noh;Kang Hyeon Rhee
Affiliations:
Chosun University;Chosun University
Venue:
Proceedings of the Fourth Annual ACIS International Conference on Computer and Information Science
Year:
2005

Citing 0
Cited 8

Hand-based verification and identification using palm-finger segmentation and fusion

Computer Vision and Image Understanding
A survey of palmprint recognition

Pattern Recognition
Novel moment invariants for improved classification performance in computer vision applications

Pattern Recognition
Transition pixel: A concept for binarization based on edge detection and gray-intensity histograms

Pattern Recognition
Stockwell transform based palm-print recognition

Applied Soft Computing
A Comparative Study of Palmprint Recognition Algorithms

ACM Computing Surveys (CSUR)
Palmprint based recognition system using phase-difference information

Future Generation Computer Systems
Score level fusion of voting strategy of geometric hashing and SURF for an efficient palmprint-based identification

Journal of Real-Time Image Processing

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Abstract

Recently, Biometrics-based personal identification is regarded as an effective method of person's identity with recognition automation and high performance. In this paper, the palmprint recognition method based on Hu invariant moment is proposed. And the low-resolution (75dpi) palmprint image (135脳135 Pixel) is used for the small scale database of the effectual palmprint recognition system. The proposed system is consists of two parts: firstly, the palmprint fixed equipment for the acquisition of the correctly palmprint image and secondly, the algorithm of the efficient processing for the palmprint recognition. And the palmprint identification step is limited 3 times. As a results, when the coefficient is 0.001 then FAR and GAR are 0.038% and 98.1% each other. The authors confirmed that FAR is improved 0.002% and GAR is 0.1% each other compared with online palmprint Identification algorithm.