Study of Fingerprint Image Preprocessing Technology

Yuan, Shuai; Zhang, Guo Yun; Wu, Jianhui; Guo, Long

doi:10.4028/www.scientific.net/amm.519-520.579

Cited by 2 publications

(2 citation statements)

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“…Two sorts of corruption more often than not influence unique finger impression pictures: 1) the edge lines are not entirely consistent since they now and then incorporate little breaks (holes); 2) parallel edge lines are not generally all around isolated because of the nearness of jumbling commotion. [15] Copyright © 2018 Helix ISSN 2319 -5592 (Online)…”

Section: Fig 5 Proposed Systemmentioning

confidence: 99%

e-PARFIT: An Extended Partition-Based Approach in Automated Fingerprint Identification System for Partial Images

Shrivastava¹

2018

Helix

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It is the intention of this work to develop a system which specialized in processing scanned images. This paper focuses on developing an extended partitioning approach for partial fingerprint identification. The procedure has utilized image orientation, enhancement, extended-partitioning, binarization and feature extraction. The major focus of this work is to reduce error rates during match. The proposed approach performs partitioning on images to create extended sub-parts before matching. This procedure clinically extracts the information of sub-parts and establishes a lower bound on the performance. The extended partition-based representation combines both the global and the local information present in a fingerprint. Test results have presented that the proposed method has a discriminatory power compared to other representations. Finally, it has shown that the use of all the techniques presented in this work significantly improves error rates of a partial fingerprint identification system on a large database.

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Section: Fig 5 Proposed Systemmentioning

confidence: 99%

e-PARFIT: An Extended Partition-Based Approach in Automated Fingerprint Identification System for Partial Images

Shrivastava¹

2018

Helix

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“…Based on analyzing and experimenting a large number of the existing fingerprint image preprocessing algorithm, this paper presents a novel high-quality fingerprint image preprocessing algorithm. This paper includes four mainly parts: background extraction, smoothing, binarization and thinning [3] .…”

Section: Introductionmentioning

confidence: 99%

A Novel Fingerprint Image Preprocessing Algorithm

Ming

Huang

2013

AMM

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Based on analyzing and experimenting a large number of the existing fingerprint image preprocessing algorithm, this paper presents a novel high-quality fingerprint image preprocessing algorithm. Taking full account of the inherent characteristics of the fingerprint image, the algorithm arranges overall features and local detail. The experiments show that it is a simple, efficient algorithm which can improve the quality of the fingerprint image, and lay a good foundation for the subsequent processing.

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Study of Fingerprint Image Preprocessing Technology

Cited by 2 publications

References 0 publications

e-PARFIT: An Extended Partition-Based Approach in Automated Fingerprint Identification System for Partial Images

e-PARFIT: An Extended Partition-Based Approach in Automated Fingerprint Identification System for Partial Images

A Novel Fingerprint Image Preprocessing Algorithm

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