Fingerprint image enhancement : a survey
Author
Source
al-Qadisiyah Journal for Computer Science and Mathematics
Issue
Vol. 7, Issue 2 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
University of al-Qadisiyah College of computer Science and Information Technology
Publication Date
2015-12-31
Country of Publication
Iraq
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
Fingerprint image enhancement is one of the most important operation in (Automated fingerprint Identification system, AFIS), and affect directly on the accuracy of the results in all other steps in fingerprint system (like feature extracting, noise removal, alignment, and matching), so the selection of suitable and efficient method is very important to avoid faulty results and to make fingerprint systems more reliable.
Fingerprint images are rarely of perfect quality; they may be degraded and corrupted due to variations in skin and impression conditions.
The available enhancement algorithms are based on either the local orientation field filtering scheme in space domain or the Gabor filtering scheme in the frequency domain.
The local orientation could not be correctly estimated for fingerprint images of poor quality, which greatly restricts the applicability of these filtering techniques.
The Gabor filters could obtain the reliable orientation estimate even for corrupted images, but it is time consuming.
It is unsuitable for an on-line fingerprint recognition system such as AFIS.
American Psychological Association (APA)
Kazim, Salman Abd. 2015. Fingerprint image enhancement : a survey. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 7, no. 2, pp.1-12.
https://search.emarefa.net/detail/BIM-787166
Modern Language Association (MLA)
Kazim, Salman Abd. Fingerprint image enhancement : a survey. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 7, no. 2 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-787166
American Medical Association (AMA)
Kazim, Salman Abd. Fingerprint image enhancement : a survey. al-Qadisiyah Journal for Computer Science and Mathematics. 2015. Vol. 7, no. 2, pp.1-12.
https://search.emarefa.net/detail/BIM-787166
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 12
Record ID
BIM-787166