Log-Gabor Orientation with Run-Length Code based Fingerprint Feature Extraction Approach

Dr. K. Kanagalakshmi

Log-Gabor Orientation with Run-Length Code based Fingerprint Feature Extraction Approach

K.Kanagalakshmi * §

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§ SNS Rajalakshmi College

Log-Gabor Orientation with Run-Length Code based Fingerprint Feature Extraction Approach

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Abstract

This paper aims to design and implement Log-Gabor filtering with Run-length Code based feature Extraction technique. Since minutiae extraction is an essential and core process of fingerprint Identification and Authentication systems, the minutiae features are enhanced in each orientation using Log-Gabor filter and features are extracted using the proposed method. Frequency domain is derived using FFT and they are enhanced by Log-Gabor filter for each orientation. In our method six orientations are considered; binarization, thinning are also followed. Fingerprint features are extracted using proposed method which possesses labeling and Run-length Coding technique. Our method is tested with the benchmark Databases and real time images and the results show the better performance and lower error rate.

References

14 Cites in Article

Reference Format

1. K Anil,Yi Jain,Meltem Chen,Demirkus (2007). Pores and ridges: High-Resolution Fingerprint Matching Using Level 3 Features. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(1)
2. Hans Van,Den Nieuwendijk Fingerprints. Fingerprints
3. Robert Haralick,Linda Shapiro (1992). Computer and Robot Vision. Computer and Robot Vision, I, 28-48.
4. V Rajaraman improvement using rank-level fusion. Pattern Analysis and Applications
5. Chandra Kanagalakshmi (2011). Frequency Domain Enhancement Filters for Fingerprint Images: A Performance Evaluation. CIIT International Journal of Digital Image Processing, 3(16)
6. Yoshihiko Hamamoto,Shunji Uchimura,Masanori,Tetsuya Watanabet,Yoshihiro Yasuda,Shingo Mitani,Tomita (1998). A gobar filter-based method for recognizing handwritten numerals. Pattern Recognitoin, 31(4), 395-400.
7. C Rafael,Richard Gonzalez,Woods Digital Image Processing. Digital Image Processing
8. Chandra Kanagalakshmi (2011). Noise Suppression Scheme using Median Filer in Gray and Binary Images. International Journal of Computer Applications, 26(1), 49-57.
9. K Anil,Jianjiang Jain,Feng (2011). Laten fingerprint Matching. IEEE Transactions on Pattern analysis and Machine Intelligence, 23(1)
10. Lousia Lam,S-W Lee,Ching Suen (1992). Thinning methodologies-a comprehensive survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(9), 869-885.
11. Lifeng He,Yuyan Chao,Kenji Suzuki,Kesheng Wu (2009). Fast Connected-component labeling. Pattern Recognition, 42(9), 1977-1987.
12. D Maio,D Maltoni (1997). Direct gray-scale minutiae detection in fingerprints. IEEE Trans. Pattern anal Mech. Intell, 19(1), 27-40.
13. J Cheng,J Tian (2004). Fingerprint enhancement with dyadic scale-space. Patt. Recog. Letters, 25(11), 1273-1284.
14. Seonjoo Kim,Dongjae Lee,Jaihie Kim (2001). Algorithm for Detection and Elimination of False Minutiae in Fingerprint Images. Lecture Notes in Computer Science, 235-240.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. K. Kanagalakshmi. 2014. "Log-Gabor Orientation with Run-Length Code based Fingerprint Feature Extraction Approach". Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 14 (GJCST Volume 14 Issue F4).

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GJCST Volume 14 Issue F4

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

FFT frequency Log- Gabor minutiae orientation

Classification

D.4.6

Submission ReceivedDecember 8, 2013
Peer Review Double Blind
Handling Editor
Accepted January 2, 2014
Published September 30, 2014

Version of record

v1.2

Issue date

September 30, 2014

Language

English

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Article Matrices

Total Score: 112

Country: India

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: Dr. K. Kanagalakshmi, Dr. E. Chandra (PhD/Dr. count: 2)

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