Transform Domain Fingerprint Identification Based on DTCWT

The physiological biometric characteristics are better compared to behavioral biometric identification of human beings to identify a person. In this paper, we propose Transform Domain Fingerprint Identification Based on DTCWT. The original Fingerprint is cropped and resized to suitable dimension to apply DTCWT. The DTCWT is applied on Fingerprint to generate coefficient which form features. The performance analysis is discussed with different levels of DTCWT and also with different sizes of Fingerprint database. It is observed that the recognition rate is better in the case of level 7 compared to other levels of DTCWT. Keywords-Fingerprint; DTCWT; Euclidean Distance; Preprocessing

[1]  Anil K. Jain,et al.  Ridge-Based Fingerprint Matching Using Hough Transform , 2005, XVIII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI'05).

[2]  Bhupesh Gour,et al.  Fingerprint Feature Extraction Using Midpoint ridge Contour method and Neural Network , 2008 .

[3]  K. R. Venugopal,et al.  Fingerprint Verification based on Gabor Filter Enhancement , 2009, ArXiv.

[4]  N. Kingsbury.  Complex Wavelets for Shift Invariant Analysis and Filtering of Signals , 2001 .

[5]  Gongping Yang,et al.  A Linear Hybrid Classifier for Fingerprint Segmentation , 2008, 2008 Fourth International Conference on Natural Computation.

[6]  Samuel Manoharan,et al.  A DUAL TREE COMPLEX WAVELET TRANSFORM CONSTRUCTION AND ITS APPLICATION TO IMAGE DENOISING , 2010 .

[7]  Anil K. Jain,et al.  FVC2004: Third Fingerprint Verification Competition , 2004, ICBA.

[8]  M. Borda,et al.  New method of filters design for dual tree complex wavelet transform , 2005, International Symposium on Signals, Circuits and Systems, 2005. ISSCS 2005..

[9]  F. A. Afsar,et al.  Fingerprint Identification and Verification System using Minutiae Matching , 2004 .

[10]  Anil K. Jain,et al.  Combining multiple matchers for a high security fingerprint verification system , 1999, Pattern Recognit. Lett..

[11]  Brankica M. Popovic,et al.  Fingerprint Minutiae Filtering Based on Multiscale Directional Information , 2007 .

[12]  N. Kingsbury.  Image processing with complex wavelets , 1999, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[13]  Fanglin Chen,et al.  Reconstructing Orientation Field From Fingerprint Minutiae to Improve Minutiae-Matching Accuracy , 2009, IEEE Transactions on Image Processing.

[14]  Feng Chen,et al.  Content-based image retrieval by DTCWT feature , 2011, 2011 3rd International Conference on Computer Research and Development.

[15]  R. K. Chhotaray,et al.  Fingerprint Verification based on fusion of Minutiae and Ridges using Strength Factors , 2010 .

[16]  Fouad Khelifi,et al.  Region-Based Watermarking of Biometric Images: Case Study in Fingerprint Images , 2008, Int. J. Digit. Multim. Broadcast..

[17]  Liu Yuanpeng,et al.  A Novel Image Denosing Scheme via Combining Dual-tree Complex Wavelet Transform and Bandelets , 2009, 2009 Third International Symposium on Intelligent Information Technology Application.

[18]  Sung Bum Pan,et al.  Ridge-based fingerprint verification for enhanced security , 2009, 2009 Digest of Technical Papers International Conference on Consumer Electronics.

[19]  Josef Bigün,et al.  Local Features for Enhancement and Minutiae Extraction in Fingerprints , 2008, IEEE Transactions on Image Processing.

[20]  Sung-Bae Cho,et al.  Adaptive fingerprint image enhancement with fingerprint image quality analysis , 2006, Image Vis. Comput..

[21]  T. Jayachandra Prasad,et al.  FINGERPRINT IMAGE DENOISING USING CURVELET TRANSFORM , 2008 .

[22]  Nick Kingsbury,et al.  The dual-tree complex wavelet transform: a new technique for shift invariance and directional filters , 1998 .

[23]  Sumana Gupta,et al.  Novel Masks for Multimodality Image Fusion using DTCWT , 2005, TENCON 2005 - 2005 IEEE Region 10 Conference.