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Journal ArticleDOI

Fingerprint image: pre- and post-processing

TLDR
A windowing post-processing method is proposed that takes into account the neighbourhood of each minutia within defined window and check for minutian validation and invalidation to eliminate a large number of false extracted minutiae from skeletonised fingerprint images.
Abstract
Automatic Fingerprint Identification Systems (AFIS) are widely used for personal identification due to uniqueness of fingerprints. Minutiae-based fingerprint matching techniques are normally used for fingerprint matching. Fingerprint matching results and their accuracy depends on presence of valid minutiae. In this paper, we present a new technique for fingerprint image post-processing. This post-processing is used to eliminate a large number of false extracted minutiae from skeletonised fingerprint images. We propose a windowing post-processing method that takes into account the neighbourhood of each minutia within defined window and check for minutia validation and invalidation. We also present a complete pre-processing system including new segmentation technique that is required to extract region of interest (ROI) accurately from a fingerprint image. The results are confirmed by visual inspections of validated minutiae of the FVC2004 reference fingerprint image database. Experimental results obtained by the proposed approach show efficient reduction of false minutiae.

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Citations
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Posted Content

Minutiae Extraction from Fingerprint Images - a Review

TL;DR: This paper presents a review of a large number of techniques present in the literature for extracting fingerprint minutiae, broadly classified as those working on binarized images and those that work on gray scale images directly.

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Effective Morphological Extraction of True Fingerprint Minutiae based on the Hit or Miss Transform

TL;DR: This paper has developed and tested structuring elements for different types of minutiae present in a fingerprint image to be used by the HMT after preprocessing the image with morphological operators, which results in efficientminutiae detection, thereby saving a lot of effort in the post processing stage.
Journal ArticleDOI

A Study on User Authentication Methodology Using Numeric Password and Fingerprint Biometric Information

TL;DR: This study proposed authentication methodology that combines numeric-based password and biometric-based fingerprint authentication system that uses the information in the user's fingerprint, authentication keys to obtain security.
Journal ArticleDOI

Wavelet-based convolutional neural networks for gender classification

TL;DR: A gender classification method using convolutional neural networks that is able to maintain comparably high recognition accuracy, even with the reduction of the number of network layers, and compared with the state-of-the-art methods.
References
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Book

Fundamentals of digital image processing

TL;DR: This chapter discusses two Dimensional Systems and Mathematical Preliminaries and their applications in Image Analysis and Computer Vision, as well as image reconstruction from Projections and image enhancement.
Book

Handbook of Fingerprint Recognition

TL;DR: This unique reference work is an absolutely essential resource for all biometric security professionals, researchers, and systems administrators.
Journal ArticleDOI

Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters.

TL;DR: Evidence is presented that the 2D receptive-field profiles of simple cells in mammalian visual cortex are well described by members of this optimal 2D filter family, and thus such visual neurons could be said to optimize the general uncertainty relations for joint 2D-spatial-2D-spectral information resolution.
Journal ArticleDOI

Unsupervised texture segmentation using Gabor filters

TL;DR: A texture segmentation algorithm inspired by the multi-channel filtering theory for visual information processing in the early stages of human visual system is presented, which is based on reconstruction of the input image from the filtered images.
Journal ArticleDOI

Fingerprint image enhancement: algorithm and performance evaluation

TL;DR: A fast fingerprint enhancement algorithm is presented, which can adaptively improve the clarity of ridge and valley structures of input fingerprint images based on the estimated local ridge orientation and frequency.
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