Fingerprint Detection Using Canny Filter and DWT, a New Approach


Md. Imdadul Islam, Nasima Begum, Mahbubul Alam, M. R. Amin, Journal of Information Processing Systems Vol. 6, No. 4, pp. 511-520, Aug. 2010

10.3745/JIPS.2010.6.4.511
Keywords: Canny Filter, Color Inversion, Skewness, Kurtosis and Convolution
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Abstract

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.


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Cite this article
[APA Style]
Md. Imdadul Islam, Nasima Begum, Mahbubul Alam, & M. R. Amin (2010). Fingerprint Detection Using Canny Filter and DWT, a New Approach . Journal of Information Processing Systems, 6(4), 511-520. DOI: 10.3745/JIPS.2010.6.4.511 .

[IEEE Style]
M. I. Islam, N. Begum, M. Alam and M. R. Amin, "Fingerprint Detection Using Canny Filter and DWT, a New Approach ," Journal of Information Processing Systems, vol. 6, no. 4, pp. 511-520, 2010. DOI: 10.3745/JIPS.2010.6.4.511 .

[ACM Style]
Md. Imdadul Islam, Nasima Begum, Mahbubul Alam, and M. R. Amin. 2010. Fingerprint Detection Using Canny Filter and DWT, a New Approach . Journal of Information Processing Systems, 6, 4, (2010), 511-520. DOI: 10.3745/JIPS.2010.6.4.511 .