This paper is published in Volume-5, Issue-3, 2019
Area
Pattern Recognition
Author
Radhu Krishna R.
Org/Univ
College of Engineering, Chengannur, Kerala, India
Pub. Date
15 May, 2019
Paper ID
V5I3-1217
Publisher
Keywords
Skeletonization, Fingerprint classification, Connectivity preservation, Unit-width skeleton

Citationsacebook

IEEE
Radhu Krishna R.. Enhanced skeletonization algorithm for fingerprint images, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Radhu Krishna R. (2019). Enhanced skeletonization algorithm for fingerprint images. International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.

MLA
Radhu Krishna R.. "Enhanced skeletonization algorithm for fingerprint images." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.

Abstract

Minutiae feature based fingerprint recognition systems heavily depend on the pixel-wise operations on skeletonized fingerprint image. The skeletonization is done by proper thinning algorithms. The minutiae features (Ridge endings and Bifurcations) can be extracted from a finely skeletonized fingerprint image. The efficiency of the thinning method determines the quality of the image skeleton and the accuracy in feature extraction. Therefore a new skeletonization technique is proposed. The new skeletonization algorithm uses a number of masks to check whether the pixel is on the boundary or not. Once the pixel is marked as boundary pixel, then the algorithm eliminates that pixel and repeat the process to get the fingerprint image skeleton of one-pixel width. The proposed system is computationally efficient and it preserves the connectivity of the pixels in the image.
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