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Model and Implementation of Large-Scale Fingerprint Image Retrieval

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Model and Implementation of Large-Scale Fingerprint Image Retrieval

Bo Wang | Wenjing Ai | Xin Lin

Bo Wang | Wenjing Ai | Xin Lin "Model and Implementation of Large-Scale Fingerprint Image Retrieval" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-4, June 2022, pp.1242-1249, URL: https://www.ijtsrd.com/papers/ijtsrd50264.pdf

Since the 21st century, along with the continuous renewal of digital image acquisition equipment and popularization, the number of the fingerprint image data of explosive growth, one-to-one matching for fingerprint identification method seriously affect the efficiency of fingerprint database system identification, vlsi fingerprint database retrieval problem be there's an urgent need to solve a problem. Therefore, it is necessary to introduce the pre-screening technology, that is, image retrieval technology, design an efficient and accurate search algorithm to eliminate as much as possible in the large-scale database with the query fingerprint image does not have the "same" relationship of the image, reduce the fingerprint matching space. After such retrieval process, relatively few fingerprints in the database and query fingerprints have a high degree of similarity, and then the one-to-many comparison mode is adopted to compare and match one by one, which can effectively reduce the time used in the whole identification process. In view of this, the design of efficient and accurate search algorithm has become one of the focuses of large-scale fingerprint image retrieval.

Fingerprint retrieval, detail point descriptors, feature similarity, best reference points, fingerprint matching

Volume-6 | Issue-4, June 2022
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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