Machine Learning Techniques for Fingerprint Identification: A Short Review

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Citations (Scopus)


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 languageEnglish
Title of host publicationAdvanced Machine Learning Technologies andApplications
Subtitle of host publicationFirst International Conference, AMLTA 2012 Cairo, Egypt, December 8-10, 2012 Proceedings
PublisherSpringer Verlag
Number of pages8
ISBN (Print)9783642353253
Publication statusPublished - 2012
Externally publishedYes

Publication series

NameCommunications in Computer and Information Science
ISSN (Print)1865-0929


  • Biometrics
  • Fingerprints
  • Machine Learning Techniques

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics


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