Machine Learning Techniques for Fingerprint Identification: A Short Review

Ali Ismail Awad

doi:10.1007/978-3-642-35326-0_52

Machine Learning Techniques for Fingerprint Identification: A Short Review

Ali Ismail Awad

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

20 Citations (Scopus)

Abstract

Fingerprint is considered as a dominant biometric trait due to its acceptability, reliability, high security level and low cost. Due to the high demand on fingerprint identification system deployments, a lot of challenges are keep arising in each system's phase including fingerprint image enhancement, feature extraction, features matching and fingerprint classification. Machine learning techniques introduce non traditional solutions to the fingerprint identification challenges. This paper presents a short survey that emphasizes the implementations of basic machine learning notions for compensating some fingerprint problems. This survey contributes as a ground truth for developing machine learning based algorithms for fingerprint identification in the near future.

Original language	English
Title of host publication	Advanced Machine Learning Technologies andApplications
Subtitle of host publication	First International Conference, AMLTA 2012 Cairo, Egypt, December 8-10, 2012 Proceedings
Publisher	Springer Verlag
Pages	524-531
Number of pages	8
ISBN (Print)	9783642353253
DOIs	https://doi.org/10.1007/978-3-642-35326-0_52
Publication status	Published - 2012
Externally published	Yes

Publication series

Name	Communications in Computer and Information Science
Volume	322
ISSN (Print)	1865-0929

Keywords

Biometrics
Fingerprints
Machine Learning Techniques

ASJC Scopus subject areas

General Computer Science
General Mathematics

Access to Document

10.1007/978-3-642-35326-0_52

Cite this

Awad, A. I. (2012). Machine Learning Techniques for Fingerprint Identification: A Short Review. In Advanced Machine Learning Technologies andApplications: First International Conference, AMLTA 2012 Cairo, Egypt, December 8-10, 2012 Proceedings (pp. 524-531). (Communications in Computer and Information Science; Vol. 322). Springer Verlag. https://doi.org/10.1007/978-3-642-35326-0_52

Machine Learning Techniques for Fingerprint Identification: A Short Review. / Awad, Ali Ismail.
Advanced Machine Learning Technologies andApplications: First International Conference, AMLTA 2012 Cairo, Egypt, December 8-10, 2012 Proceedings. Springer Verlag, 2012. p. 524-531 (Communications in Computer and Information Science; Vol. 322).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Awad, AI 2012, Machine Learning Techniques for Fingerprint Identification: A Short Review. in Advanced Machine Learning Technologies andApplications: First International Conference, AMLTA 2012 Cairo, Egypt, December 8-10, 2012 Proceedings. Communications in Computer and Information Science, vol. 322, Springer Verlag, pp. 524-531. https://doi.org/10.1007/978-3-642-35326-0_52

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Machine Learning Techniques for Fingerprint Identification: A Short Review

Abstract

Publication series

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this