FIVDL: Fingerprint Image Verification using Dictionary Learning

Arunalatha, JS and Tejaswi, V and Shaila, K and Anvekar, Dinesh and Venugopal, KR and Iyengar, SS and Patnaik, LM (2015) FIVDL: Fingerprint Image Verification using Dictionary Learning. In: 11th International Conference on Image and Signal Processing (ICISP), AUG 21-23, 2015, Bangalore, INDIA, pp. 482-490.

PDF Pro_Com_Sci_54_482_2015.pdf - Published Version Restricted to Registered users only Download (868kB) | Request a copy

Abstract

Fingerprints are used for identification in forensics and are classified into Manual and Automatic. Automatic fingerprint identification system is classified into Latent and Exemplar. A novel Exemplar technique of Fingerprint Image Verification using Dictionary Learning (FIVDL) is proposed to improve the performance of low quality fingerprints, where Dictionary learning method reduces the time complexity by using block processing instead of pixel processing. The dynamic range of an image is adjusted by using Successive Mean Quantization Transform (SMQT) technique and the frequency domain noise is reduced using spectral frequency Histogram Equalization. Then, an adaptive nonlinear dynamic range adjustment technique is utilized to determine the local spectral features on corresponding fingerprint ridge frequency and orientation. The dictionary is constructed using spatial fundamental frequency that is determined from the spectral features. These dictionaries help in removing the spurious noise present in fingerprints and reduce the time complexity by using block processing instead of pixel processing. Further, dictionaries are used to reconstruct the image for matching. The proposed FIVDL is verified on FVC database sets and Experimental result shows an improvement over the state-of-the-art techniques. (C) 2015 The Authors. Published by Elsevier B.V.

Item Type:	Conference Proceedings
Series.:	Procedia Computer Science
Publisher:	ELSEVIER SCIENCE BV
Additional Information:	Copy right for this article belongs to the ELSEVIER SCIENCE BV, SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
Keywords:	Automated Fingerprint Identification System (AFIS); Dictionary learning; Equal Error Rate (EER); Fingerprint Verification Competence (FVC); Spatial frequency analysis
Department/Centre:	Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited:	12 May 2016 05:25
Last Modified:	12 May 2016 05:25
URI:	http://eprints.iisc.ac.in/id/eprint/53827

Actions (login required)

View Item