Fast communication: Combining pores and ridges with minutiae for improved fingerprint verification

Authors:
Mayank Vatsa;Richa Singh;Afzel Noore;Sanjay K. Singh
Affiliations:
Indraprastha Institute of Information Technology, New Delhi, India;Indraprastha Institute of Information Technology, New Delhi, India;Lane Department of Computer Science and Electrical Engineering, West Virginia University, USA;Department of Computer Engineering Institute of Technology, Banaras Hindu University, India
Venue:
Signal Processing
Year:
2009

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Abstract

This paper presents a fast fingerprint verification algorithm using level-2 minutiae and level-3 pore and ridge features. The proposed algorithm uses a two-stage process to register fingerprint images. In the first stage, Taylor series based image transformation is used to perform coarse registration, while in the second stage, thin plate spline transformation is used for fine registration. A fast feature extraction algorithm is proposed using the Mumford-Shah functional curve evolution to efficiently segment contours and extract the intricate level-3 pore and ridge features. Further, Delaunay triangulation based fusion algorithm is proposed to combine level-2 and level-3 information that provides structural stability and robustness to small changes caused due to extraneous noise or non-linear deformation during image capture. We define eight quantitative measures using level-2 and level-3 topological characteristics to form a feature supervector. A 2@n-support vector machine performs the final classification of genuine or impostor cases using the feature supervectors. Experimental results and statistical evaluation show that the feature supervector yields discriminatory information and higher accuracy compared to existing recognition and fusion algorithms.