Fuzzy feature selection for fingerprint identification

Sagar, V.K.; Ngo, DuyHoa; Foo, Kelvin C.

doi:10.1109/ccst.1995.524738

Cited by 10 publications

(3 citation statements)

References 4 publications

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“…Minutiae or Galton features are the various ridges and the crossings in the fingerprint. There are many methods available in literature [7]- [20] for extracting minutiae which can broadly be classified into those that work on binarized images and those that work on grey scale images. Methods that work on binarized images can be further classified into thinningbased & non-thinning based.…”

Section: Introductionmentioning

confidence: 99%

Fingerprint Image Enhancement and Extraction of Minutiae and Orientation

Sojan¹,

Kulkarni²

2016

IJCA

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Fingerprints are popular among the biometricbased systems due to ease of acquisition, uniqueness and availability. Fingerprint based biometric systems work by extracting and matching some features on the fingerprint. Due to errors in acquisition phase, it is possible that the scanned fingerprint image is not of a good quality and hence needs to be enhanced before being processed by the feature extracting module. Out of the various features that can be extracted, orientation and minutiae points are the most common ones to be used. This paper discusses some commonly used fingerprint enhancement techniques, the algorithms for minutiae and orientation extraction followed by the comparison of the algorithm on various databases.

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Section: Introductionmentioning

confidence: 99%

Fingerprint Image Enhancement and Extraction of Minutiae and Orientation

Sojan¹,

Kulkarni²

2016

IJCA

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“…A strategy based on a fuzzy logic technique was described by V. K. Sagar, D. B. L. Ngo, and K. C. K. Foo [7]. The simplicity and affordability of the approach were advantages.…”

Section: ) Fingerprint Enhancement Minutiae Extraction and Matchingmentioning

confidence: 99%

Survey on Fingerprint Identification

2023

IRJMETS

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In the paper, reviewed a few of the more recent studies on the recognition of fingerprints method. Identification using fingerprints is a method for identifying humans by their distinct pattern of lines and furrows on their fingertips. Because each person has an individual set of ridges or furrows on their finger, fingerprints are a reliable method of identifying. Fingerprint verification is often employed in forensic science, law enforcement agencies, and safety precautions for control of entry and recognition. The fingertips of somebody can frequently be checked using a gadget fingerprint scanner or detectors as part of the identification procedure. Using a camera or sensor, valleys and hills of the outermost portion are considered, and this image is then analyzed by software for displaying features and traits.

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“…Fuzzy logic provides human reasoning capabilities to capture uncertainties that cannot be described by precise mathematical models [9]. And fuzzy logic can able to the reasoning with some particular form of knowledge [10].…”

Section: Fuzzy Imagementioning

confidence: 99%

An application of fuzzy logic and neural network to fingerprint recognition

Hsieh

NSIP 2005. Abstracts. IEEE-Eurasip Nonlinear Signal and Image Processing, 2005.

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Because fingerprint patterns are fuzzy in nature and ridge endings are changed easily by scares, we try to only use ridge bifurcation as fingerprints minutiae and also design a fuzzy feature image encoder by using cone membership function to represent the structure of ridge bifurcation features extracted from fingerprint. Then, we integrate the fuzzy encoder with back-propagation neural network (BPNN) as a recognizer which has variable fault tolerances for fingerprint recognition. Experimental results show that the proposed fingerprint recognition system is robust, reliable and rapid.

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Fuzzy feature selection for fingerprint identification

Cited by 10 publications

References 4 publications

Fingerprint Image Enhancement and Extraction of Minutiae and Orientation

Fingerprint Image Enhancement and Extraction of Minutiae and Orientation

Survey on Fingerprint Identification

An application of fuzzy logic and neural network to fingerprint recognition

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