Journal of Information Processing Systems

  • 제6권4호
  • /
  • Pages.511-520
  • /
  • 2010
  • /
  • 1976-913X(pISSN)
  • /
  • 2092-805X(eISSN)
한국정보처리학회 (Korea Information Processing Society)
권호 표지
DOI QR코드

DOI QR Code

Fingerprint Detection Using Canny Filter and DWT, a New Approach

  • Islam, Md. Imdadul (Department of Computer Science and Engineering, Jahangirnagar University) ;
  • Begum, Nasima (Department of Computer Science and Engineering, Jahangirnagar University) ;
  • Alam, Mahbubul (Department of Computer Science and Engineering, Jahangirnagar University) ;
  • Amin, M.R. (Dept. of Electronics and Communications Engineering, East West University)
  • 투고 : 2010.08.03
  • 심사 : 2010.10.29
  • 발행 : 2010.12.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

This paper proposes two new methods to detect the fingerprints of different persons based on one-dimensional and two-dimensional discrete wavelet transformations (DWTs). Recent literature shows that fingerprint detection based on DWT requires less memory space compared to pattern recognition and moment-based image recognition techniques. In this study four statistical parameters - cross correlation co-efficient, skewness, kurtosis and convolution of the approximate coefficient of one-dimensional DWTs are used to evaluate the two methods involving fingerprints of the same person and those of different persons. Within the contexts of all statistical parameters in detection of fingerprints, our second method shows better results than that of the first method.

키워드

참고문헌

  1. Mario A. T. Figueiredo, and Robert D. Nowak, “An EM Algorithm for Wavelet-Based Image Restoration”, IEEE Trans. Image Processing, Vol.12, No.8, 2003, pp.906-916. https://doi.org/10.1109/TIP.2003.814255
  2. Andrew B. Watson, Gloria Y. Yang, Joshua A. Solomon, and John Villasenor, “Visibility of Wavelet Quantization Noise”, IEEE Trans. Image Processing, Vol.6, No.8, 1997, pp.1164-1175. https://doi.org/10.1109/83.605413
  3. Raghuveer M. Rao and Ajit S. Bopardikar, “Wavelet Transforms: Introduction to Theory and Applications”, Pearson Education, Inc., 1st edition, Delhi, 2005.
  4. Rafael G. Gonzalez, Richard E. Woods, and Steven L. Eddins, “Digital Image Processing using MATLAB”, Pearson Education, Inc., 1st edition, Delhi, 2004.
  5. Wan Azizun Wan Adnan, Lim TZE Siang, Salasiah Hitam, “Fingerprint recognition in wavelet domain”, Jurnal Teknologi, 41(D), Universiti Teknologi Malaysia, Dis. 2004, pp.25-42.
  6. M. Tico, P. Kuosmanen, J. Saarinen, “Wavelet domain features for fingerprint recognition”, IEE Electronics Letters, Vol.37, No.1, 4th January, 2001, pp.21-22. https://doi.org/10.1049/el:20010031
  7. Anil K. Jain, Yi Chen, Malter Demirkus,“Pores and Ridges: High-Resolution Fingerprint Matching Using Level 3 Features”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.29, No.1, January, 2007, pp.15-27. https://doi.org/10.1109/TPAMI.2007.250596
  8. K. Thaiyalnayaki, S. Syed Abdul Karim, P. Varsha Parmar, “Finger print recognition using DiscreteWavelet Transforn”, International Journal of Computer Applications (0975-8887), Vol.1, No.24, 2010, pp.96-100. https://doi.org/10.5120/551-720
  9. Burrus, C. S.; Gopinath, R. A.; and Guo, H., ‘Introduction to Wavelets and Wavelet Transforms’: A Primer. Prentice Hall Inc., Upper Saddle River, New Jersey, 1998.
  10. Aydin, T., Yemez, Y., Anarim, E., and Sankur, B., “Multi-directional and Multi-scale Edge Detection via M-Band Wavelet Transform”, IEEE Trans. Image Processing, Vol.5, No.9, 1996, pp.1370-1377. https://doi.org/10.1109/83.535850
  11. Mario A. T. Figueiredo, and Robert D. Nowak, “Wavelet-Based Image Estimation: An Empirical Bayes Approach Using Jeffreys’ Noninformative Prior”, IEEE Trans. Image Processing, Vol.10, No.9, 2001, pp.1322-1331. https://doi.org/10.1109/83.941856

피인용 문헌

  1. Statistical skin color detection method without color transformation for real-time surveillance systems vol.25, pp.7, 2012, https://doi.org/10.1016/j.engappai.2012.02.019
  2. Local feature-based multi-object recognition scheme for surveillance vol.25, pp.7, 2012, https://doi.org/10.1016/j.engappai.2012.03.005
  3. Converting image to a gateway to an information portal for digital signage vol.71, pp.1, 2014, https://doi.org/10.1007/s11042-012-1315-6