Fingerprint singularity detection: A comparative study

Ali Ismail Awad, Kensuke Baba

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

11 Citations (Scopus)


A singular point or singularity on fingerprint is considered as a fingerprint landmark due its scale, shift, and rotation immutability. It is used for both fingerprint classification and alignment in automatic fingerprint identification systems. This paper presents a comparative study between two singular point detection methods available in the literature. The Poincaré index method is the most popular approach, and the complex filter is another proposed method applied on the complex directional images. The maximum complex filter response is highly related to the regions with abrupt changes in the ridge orientations. These regions have a high probability to contain a singular point. The optimum detection method in both processing time and detection accuracy will be updated to suite our efficient classification method. The experimental evaluation for both methods proves that the accuracy achieved by complex filter is up to 95% with considerable processing time compared to 90% with Poincaré index method.

Original languageEnglish
Title of host publicationSoftware Engineering and Computer Systems - Second International Conference, ICSECS 2011, Proceedings
Number of pages11
EditionPART 1
Publication statusPublished - 2011
Externally publishedYes
Event2nd International Conference on Software Engineering and Computer Systems, ICSECS 2011 - Kuantan, Malaysia
Duration: Jun 27 2011Jun 29 2011

Publication series

NameCommunications in Computer and Information Science
NumberPART 1
Volume179 CCIS
ISSN (Print)1865-0929


Conference2nd International Conference on Software Engineering and Computer Systems, ICSECS 2011


  • Complex Filters
  • Fingerprints
  • Poincaré Index
  • Singular Point

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics


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