Fingerprint image enhancement using Principal Component Analysis (PCA) filters

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

doi:10.1109/ICIET.2010.5625686

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 proceeding › Conference proceeding contribution › peer-review

9 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 language	English
Title of host publication	2010 International Conference on Information and Emerging Technologies, ICIET 2010
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-6
Number of pages	6
ISBN (Print)	9781424480012
DOIs	https://doi.org/10.1109/ICIET.2010.5625686
Publication status	Published - 2010
Externally published	Yes
Event	2nd International Conference on Information and Emerging Technologies, ICIET 2010 - Karachi, Pakistan Duration: 14 Jun 2010 → 16 Jun 2010

Other

Other	2nd International Conference on Information and Emerging Technologies, ICIET 2010
Country/Territory	Pakistan
City	Karachi
Period	14/06/10 → 16/06/10

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10.1109/ICIET.2010.5625686

Cite this

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title = "Fingerprint image enhancement using Principal Component Analysis (PCA) filters",

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.",

author = "Khan, {Mohammad Asmatullah} and Aurangzeb Khan and Tariq Mahmood and Muzahir Abbas and Nazir Muhammad",

year = "2010",

doi = "10.1109/ICIET.2010.5625686",

language = "English",

isbn = "9781424480012",

pages = "1--6",

booktitle = "2010 International Conference on Information and Emerging Technologies, ICIET 2010",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2nd International Conference on Information and Emerging Technologies, ICIET 2010 ; Conference date: 14-06-2010 Through 16-06-2010",

}

Khan, MA, Khan, A, Mahmood, T, Abbas, M & Muhammad, N 2010, Fingerprint image enhancement using Principal Component Analysis (PCA) filters. in 2010 International Conference on Information and Emerging Technologies, ICIET 2010., 5625686, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1-6, 2nd International Conference on Information and Emerging Technologies, ICIET 2010, Karachi, Pakistan, 14/06/10. https://doi.org/10.1109/ICIET.2010.5625686

Fingerprint image enhancement using Principal Component Analysis (PCA) filters. / Khan, Mohammad Asmatullah; Khan, Aurangzeb; Mahmood, Tariq et al.
2010 International Conference on Information and Emerging Technologies, ICIET 2010. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2010. p. 1-6 5625686.

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

TY - GEN

T1 - Fingerprint image enhancement using Principal Component Analysis (PCA) filters

AU - Khan, Mohammad Asmatullah

AU - Khan, Aurangzeb

AU - Mahmood, Tariq

AU - Abbas, Muzahir

AU - Muhammad, Nazir

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

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U2 - 10.1109/ICIET.2010.5625686

DO - 10.1109/ICIET.2010.5625686

M3 - Conference proceeding contribution

AN - SCOPUS:78650574125

SN - 9781424480012

SP - 1

EP - 6

BT - 2010 International Conference on Information and Emerging Technologies, ICIET 2010

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 2nd International Conference on Information and Emerging Technologies, ICIET 2010

Y2 - 14 June 2010 through 16 June 2010

ER -

Fingerprint image enhancement using Principal Component Analysis (PCA) filters

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