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

1
K.Kanagalakshmi
K.Kanagalakshmi
2
Dr. K. Kanagalakshmi
Dr. K. Kanagalakshmi
3
Dr. E. Chandra
Dr. E. Chandra
1 DJ Academy for Managerial Excellence, Coimbatore

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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.

14 Cites in Articles

References

  1. K Anil,Yi Jain,Meltem Chen,Demirkus (2007). Pores and ridges: High-Resolution Fingerprint Matching Using Level 3 Features.
  2. Hans Van,Den Nieuwendijk Fingerprints.
  3. Robert Haralick,Linda Shapiro (1992). Computer and Robot Vision.
  4. V Rajaraman improvement using rank-level fusion.
  5. Chandra Kanagalakshmi (2011). Frequency Domain Enhancement Filters for Fingerprint Images: A Performance Evaluation.
  6. Yoshihiko Hamamoto,Shunji Uchimura,Masanori,Tetsuya Watanabet,Yoshihiro Yasuda,Shingo Mitani,Tomita (1998). A gobar filter-based method for recognizing handwritten numerals.
  7. C Rafael,Richard Gonzalez,Woods Digital Image Processing.
  8. Chandra Kanagalakshmi (2011). Noise Suppression Scheme using Median Filer in Gray and Binary Images.
  9. K Anil,Jianjiang Jain,Feng (2011). Laten fingerprint Matching.
  10. Lousia Lam,S-W Lee,Ching Suen (1992). Thinning methodologies-a comprehensive survey.
  11. Lifeng He,Yuyan Chao,Kenji Suzuki,Kesheng Wu (2009). Fast Connected-component labeling.
  12. D Maio,D Maltoni (1997). Direct gray-scale minutiae detection in fingerprints.
  13. J Cheng,J Tian (2004). Fingerprint enhancement with dyadic scale-space.
  14. Seonjoo Kim,Dongjae Lee,Jaihie Kim (2001). Algorithm for Detection and Elimination of False Minutiae in Fingerprint Images.

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.

K.Kanagalakshmi. 2014. \u201cLog-Gabor Orientation with Run-Length Code based Fingerprint Feature Extraction Approach\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 14 (GJCST Volume 14 Issue F4): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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v1.2

Issue date

September 30, 2014

Language

English

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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.

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.

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

Dr. K. Kanagalakshmi
Dr. K. Kanagalakshmi
Dr. E. Chandra
Dr. E. Chandra

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