Fingerprint feature extraction using block-direction on reconstructed images

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Fingerprint feature extraction using block-direction on reconstructed images

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dc.contributor.author Kasaei, S
dc.contributor.author Deriche, M
dc.contributor.author Boashash, B
dc.date.accessioned 2011-07-26T04:57:37Z
dc.date.available 2011-07-26T04:57:37Z
dc.date.issued 1997-12
dc.identifier.citation Proceedings of IEEE Speech and Image Technologies for Computing and Telecommunications, Issue Date : 4-4 Dec. 1997,Volume : 1 , page(s): 303 en_US
dc.identifier.isbn 0-7803-4365-4
dc.identifier.uri http://hdl.handle.net/10576/10721
dc.description This paper presents a human identification methods using finger-print image recognition. (The most recent upgrade of the original software package that calculates Time-Frequency Distributions and Instantaneous Frequency estimators can be downloaded from the web site: www.time-frequency.net. This was the first software developed in the field, and it was first released publicly in 1987 at the 1st ISSPA conference held in Brisbane, Australia., and then continuously updated). en_US
dc.description.abstract Fingerprints have been used as unique identifiers of individuals for a very long time. As fingerprint databases are characterized by their large size and may contain noisy and distorted images, an efficient representation of the images is essential for a reliable identification. Considering fingerprints as sample images from non-stationary processes with flow patterns, we propose here a robust technique to extract their features. The unique properties of fingerprint textures are used to enhance the images and improve the fidelity of their features. The ridges are extracted from enhanced foreground areas based on local dominant ridge directions. The resulting bit-mapped images are thinned and smoothed to detect structural features. A large number of false features are eliminated in the proposed post-processing stage. The proposed algorithm results in an efficient and fast representation of fingerprints which accurately retains the fidelity in minutiae. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject fingerprint databases en_US
dc.subject fingerprint feature extraction en_US
dc.subject flow patterns en_US
dc.subject image representation en_US
dc.subject image smoothing en_US
dc.subject local dominant ridge directions en_US
dc.subject minutiae en_US
dc.subject noisy images en_US
dc.subject non-stationary processes en_US
dc.subject post-processing en_US
dc.subject reconstructed images en_US
dc.subject sample images en_US
dc.subject structural features detection en_US
dc.subject security image processing en_US
dc.subject human identification en_US
dc.title Fingerprint feature extraction using block-direction on reconstructed images en_US
dc.type Article en_US

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