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Journal ArticleDOI

Adaptive flow orientation-based feature extraction in fingerprint images

Nalini K. Ratha, +2 more
- 01 Nov 1995 - 
- Vol. 28, Iss: 11, pp 1657-1672
TLDR
A reliable method for extracting structural features from fingerprint images is presented and a “goodness index” (GI) which compares the results of automatic extraction with manually extracted ground truth is evaluated.
About
This article is published in Pattern Recognition.The article was published on 1995-11-01. It has received 635 citations till now. The article focuses on the topics: Feature extraction & Minutiae.

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Citations
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Journal ArticleDOI

Fingerprint image enhancement: algorithm and performance evaluation

TL;DR: A fast fingerprint enhancement algorithm is presented, which can adaptively improve the clarity of ridge and valley structures of input fingerprint images based on the estimated local ridge orientation and frequency.
Journal ArticleDOI

On-line fingerprint verification

TL;DR: An improved version of the minutia extraction algorithm proposed by Ratha et al. (1995), which is much faster and more reliable, is implemented for extracting features from an input fingerprint image captured with an online inkless scanner and an alignment-based elastic matching algorithm has been developed.
Journal ArticleDOI

An identity-authentication system using fingerprints

TL;DR: The design and implementation of a prototype automatic identity-authentication system that uses fingerprints to authenticate the identity of an individual is described and an improved minutiae-extraction algorithm is developed that is faster and more accurate than the earlier algorithm.
Journal ArticleDOI

A real-time matching system for large fingerprint databases

TL;DR: The approach integrates a number of domain-specific high-level features such as pattern class and ridge density at higher levels of the search and incorporates elastic structural feature-based matching for indexing the database at the lowest level.
Book

Guide to Biometrics

TL;DR: This complete, technical guide details the principles, methods, technologies, and core ideas used in biometric authentication systems and defines and explains how to measure the performance of both verification and identification systems.
References
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Journal ArticleDOI

Fingerprint pattern classification

Masahiro Kawagoe, +1 more
- 28 Jun 1984 - 
TL;DR: In this method, fingerprint images are divided into 32 × 32 subregions to obtain direction pattern and feature parameters of the fingerprint are obtained by extracting major flow-line traces.
Book

Advances in Fingerprint Technology

TL;DR: In this article, a concise history of fingerprinting and a discussion of Live-Scan and Image Transmission networks are discussed, including physical, chemical, instrumental, and combination techniques, as well as new developments in fingerprint processing.
Book

A Taxonomy for Texture Description and Identification

TL;DR: The taxonomy for texture can serve as a scheme for the identification and description of surface flaws and defects occurring in a wide range of practical applications.
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