Fingerprint image enhancement using Principal Component Analysis (PCA) filters

Mohammad Asmatullah Khan, Aurangzeb Khan, Tariq Mahmood, Muzahir Abbas, Nazir Muhammad

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

6 Citations (Scopus)

Abstract

A new method based upon Principal Component Analysis (PCA) for fingerprint enhancement is proposed in this paper. PCA is a useful statistical technique that has found application in fields such as face recognition and image compression, and is a common technique for finding patterns in data of high dimension. In the proposed method image is first decomposed into directional images using decimation free Directional Filter bank DDFB. Then PCA is applied to these directional fingerprint image which gives the PCA filtered images. Which are basically directional images. Then these directional images are reconstructed into one image which is the enhanced one. Simulation results are included illustrating the capability of the proposed method.

Original languageEnglish
Title of host publication2010 International Conference on Information and Emerging Technologies, ICIET 2010
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-6
Number of pages6
ISBN (Print)9781424480012
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2nd International Conference on Information and Emerging Technologies, ICIET 2010 - Karachi, Pakistan
Duration: 14 Jun 201016 Jun 2010

Other

Other2nd International Conference on Information and Emerging Technologies, ICIET 2010
CountryPakistan
CityKarachi
Period14/06/1016/06/10

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