Effect of resolution and image quality on combined optical and neural
                        network fingerprint matching

Wilson, Charles L.; Watson, Craig I.; Paek, Eung Gi

doi:10.6028/nist.ir.6184

Cited by 13 publications

(6 citation statements)

References 20 publications

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“…They include methods based on point pattern matching, 4,5 graph matching 11,12 and structural matching. 7,13 In addition, nonminutiae based methods have also been proposed, including methods based on image correlation, 14,15 tree grammar matching, 16 and transform features. 17,18 Systems using fingerprint matching can be classified into two categories: identification systems and verification (authentication) systems.…”

Section: Introductionmentioning

confidence: 99%

A Remote Authentication System Using Fingerprints

Tico

Kuosmanen

2003

Int. J. Image Grap.

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We present the design and implementation of a fingerprint-based remote authentication system. In this system, the fingerprint features captured at a client terminal are transmitted over a communication channel to a central server location where the verification takes place. In order to overcome replay attacks, we propose an original approach to fingerprint matching that relies on different fingerprint features for every execution of the authentication protocol. The paper also introduces an efficient approach for fingerprint image enhancement that constitutes the core of the feature extraction module included in the proposed authentication system. A public domain collection of fingerprint images is used to evaluate the system performance. The experimental results reveal that the proposed system can achieve good matching performance on this data collection and, furthermore, is able to accurately reject replay attacks.

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Section: Introductionmentioning

confidence: 99%

A Remote Authentication System Using Fingerprints

Tico

Kuosmanen

2003

Int. J. Image Grap.

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“…Many fingerprint identification and verification methods have been proposed, such as image correlation (Wilson, Watson, & Paek, 2000), graph matching (Isenor & Zaky, 1986), structural matching (Hrechak & McHugh, 1990;Wahab, Chin, & Tan, 1998), and matching with transform features (Jain, Prabhakar, Hong, & Pankanti, 2000), and so on. Among them the most widely used one is methods based on point pattern matching (Ratha, Karu, Chen, & Jain, 1996).…”

Section: Introductionmentioning

confidence: 99%

A robust method for partial deformed fingerprints verification using genetic algorithm

Girgis

Sewisy

Mansour

2009

Expert Systems with Applications

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“…Many fingerprint identification and verification methods have been proposed, such as image correlation [1], graph matching [2], structural matching [3,4], and matching with transform features [5], and so on. Among them the most widely used one is methods based on point pattern matching [6,7].…”

Section: Introductionmentioning

confidence: 99%