Increasing quality in fingerprint images by Implementing wavelet transform based fusion technique

Fingerprint images are practically most widely used in biometric systems for person identification. Their quality is very important in extracting true minutiae. In this paper we treat the method of increasing the true minutiae detected number based on the fusion of two fingerprint images obtained in different positions. Wavelet transform based fusion method are implemented using different wavelets. From the results it yields that the fusion based on DWT transform increases the accuracy of minutiae detected.

[1]  Nibouche Mokhtar,et al.  The Wavelet Transform for Image Processing Applications , 2012 .

[2]  Zhu Xizhi,et al.  The Application of Wavelet Transform in Digital Image Processing , 2008, 2008 International Conference on MultiMedia and Information Technology.

[3]  K. Ramar,et al.  Spatial frequency discrete wavelet transform image fusion technique for remote sensing applications , 2019, Engineering Science and Technology, an International Journal.

[4]  Ebenezer Owusu,et al.  Implementation of a Transform-Minutiae Fusion-Based Model for Fingerprint Recognition , 2021, Int. J. Math. Math. Sci..

[5]  Vinay Sahu,et al.  Image fusion using Wavelet Transform: A Review , 2014 .

[6]  Anil K. Jain Biometric Recognition: Overview and Recent Advances , 2007, CIARP.

[7]  D. Koundal,et al.  Image Fusion Techniques: A Survey , 2021, Archives of computational methods in engineering : state of the art reviews.