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JIPS
2010

Fingerprint Detection Using Canny Filter and DWT, a New Approach

8 years 6 months ago
Fingerprint Detection Using Canny Filter and DWT, a New Approach
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. Keywords--Canny Filter, Color Inversion, Skewness, Kurtosis and Convolution
Md. Imdadul Islam, Nasima Begum, Mahbubul Alam, M.
Added 19 May 2011
Updated 19 May 2011
Type Journal
Year 2010
Where JIPS
Authors Md. Imdadul Islam, Nasima Begum, Mahbubul Alam, M. R. Amin
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