Fingerprint Classification Based on Analysis of Singularities and Image Quality

Authors:
Fadzilah Ahmad;Dzulkifli Mohamad
Affiliations:
Department of Computer Graphics & Multimedia, Universiti Teknologi Malaysia, Skudai;Department of Computer Graphics & Multimedia, Universiti Teknologi Malaysia, Skudai
Venue:
IVIC '09 Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice
Year:
2009

Citing 11
Cited 0

Fingerprint pattern classification

Pattern Recognition
Detection of singular points in fingerprint images

Pattern Recognition
Performance Evaluation of an Automatic Fingerprint Classification Algorithm Adapted to a Vucetich Based Classification System

AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Handbook of Fingerprint Recognition

Handbook of Fingerprint Recognition
Fingerprint Classification by Directional Fields

ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
Fingerprint classification based on extraction and analysis of singularities and pseudoridges

VIP '01 Proceedings of the Pan-Sydney area workshop on Visual information processing - Volume 11
Fingerprint classification: a review

Pattern Analysis & Applications
Combining singular points and orientation image information for fingerprint classification

Pattern Recognition
Fingerprint classification based on statistical features and singular point information

IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
Filterbank-based fingerprint matching

IEEE Transactions on Image Processing
Fast fingerprint verification using subregions of fingerprint images

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

One of the open issues in fingerprint classification is the lack of robustness when dealing with image-quality degradation. Poor-quality images effect on spurious and missing important features for classification, thus degrading the overall performance for distinguish fingerprint classes. In this work, we review existing approaches that have been applied in fingerprint classification which concerning on image quality problems. We have also presents an approach for classifying a fingerprint by analysis of singularities features and improvement on image quality. The main objective of this study is to provide the reader with some insights into the strength and importance of the quality images for fingerprint classification system. In particular, it discusses the fingerprint singularities features that are useful for distinguishing fingerprint classes and reviews the methods of classification that have been applied based on these features.