Learning fingerprint minutiae location and type

  title={Learning fingerprint minutiae location and type},
  author={Salil Prabhakar and Anil K. Jain and Sharath Pankanti},
  journal={Pattern Recognit.},

Robust Fingerprint Matching

The technique conferred in this paper is based on the extraction of minutiae from the thinned, binarized and segmented version of a fingerprint image which enhances the performance of the matching algorithm.

Fingerprint minutiae filtering using ARTMAP

Experimental results show that the efficiency of minutia classification has significantly improved using the proposed filtering algorithm, and the spurious minutiae points and the bug pixels introduced during the thinning process are eliminated based on the neighborhood pixel information.

A Bayesian approach to fingerprint minutia localization and quality assessment using adaptable templates

This paper presents a novel approach to improving the precision of features that can be extracted from fingerprint images through improved minutia localization and quality assessment routines that are inspired in part by human visual perception.

A direct fingerprint minutiae extraction approach based on convolutional neural networks

A novel minutiae extraction approach based on deep convolutional neural networks is proposed, which directly extract minutia on raw fingerprint images without any preprocess since it tactfully takes the advantage of the strong representative capacity of deep convolved neural networks.

Reducing descriptor measurement error through Bayesian estimation of fingerprint minutia location and direction

This study is concerned with the correction of descriptor errors in minutiae (ridge endings and bifurcations) and with evaluation of the effect of feature accuracy on matching performance, and applies Bayesian filtering to refine minutia location and direction descriptors.

Biometric Finger Byreal Minutiaeextraction

In this work an attempt is made to enhance biometric fingerprint for identification & recognition using Discrete Wavelet Transform (DWT). In conventional biometric systems Fast Fourier Transform has

Advanced feature extraction algorithms for automatic fingerprint recognition systems

An adaptive filter, which automatically selects the preprocessing parameters based on the image quality, and two thinning-free minutiae extraction methods based on chain-code contour tracing and run length scanning are developed.

Fingerprint Feature Extraction Using Midpoint ridge Contour method and Neural Network

A minutia extraction approach has been presented using the midpoint ridge contours method, which takes less time and do not detect any false minutiae.

Minutiae Extraction from Fingerprint Images - a Review

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.

Accelerated Q-learning approach for minutiae extraction in fingerprint image

This paper has proposed accelerated Q-learning approach for minutiae extraction which calculate Q-value for both success and fail state and reduces processing time and also improves efficiency against noise.



Learned templates for feature extraction in fingerprint images

  • B. BhanuXuejun Tan
  • Computer Science
    Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001
  • 2001
A new technique, based on the use of learned templates, which statistically characterize the minutiae is proposed, which can improve both the features and the performance of the identification system.

Filterbank-based fingerprint matching

A filter-based fingerprint matching algorithm which uses a bank of Gabor filters to capture both local and global details in a fingerprint as a compact fixed length FingerCode and is able to achieve a verification accuracy which is only marginally inferior to the best results of minutiae-based algorithms published in the open literature.

Fingerprint minutiae extraction from skeletonized binary images

Direct Gray-Scale Minutiae Detection In Fingerprints

This work proposes an original technique, based on ridge line following, where the minutiae are extracted directly from gray scale images, and results achieved are compared with those obtained through some methods based on image binarization.

Logical templates for feature extraction in fingerprint images

The proposed approach is based on the use of logical templates for minutiae extraction in the presence of data distortion and is adapted to local ridge orientation and frequency.

Adaptive flow orientation-based feature extraction in fingerprint images

Neural network based minutiae filtering in fingerprints

  • D. MaioD. Maltoni
  • Computer Science
    Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170)
  • 1998
A neural classifier, whose topology has been designed to exploit the minutiae duality, is employed to perform the neighborhoods classification and a significant improvement in the overall performance is achieved.

An identity-authentication system using fingerprints

The design and implementation of a prototype automatic identity-authentication system that uses fingerprints to authenticate the identity of an individual is described and an improved minutiae-extraction algorithm is developed that is faster and more accurate than the earlier algorithm.

Fingerprint image postprocessing: A combined statistical and structural approach

Fingerprint Image Enhancement: Algorithm and Performance Evaluation

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.