Image quality measures for fingerprint image enhancement

Authors:
Chaohong Wu;Sergey Tulyakov;Venu Govindaraju
Affiliations:
Center for Unified Biometrics and Sensors (CUBS), SUNY at Buffalo;Center for Unified Biometrics and Sensors (CUBS), SUNY at Buffalo;Center for Unified Biometrics and Sensors (CUBS), SUNY at Buffalo
Venue:
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Year:
2006

Citing 4
Cited 0

Fingerprint Image Enhancement: Algorithm and Performance Evaluation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing

Digital Image Processing
Quality Measures of Fingerprint Images

AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Fingerprint quality indices for predicting authentication performance

AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication

Quantified Score

Hi-index	0.00

Visualization

Abstract

Fingerprint image quality is an important factor in the performance of Automatic Fingerprint Identification Systems(AFIS). It is used to evaluate the system performance, assess enrollment acceptability, and evaluate fingerprint sensors. This paper presents a novel methodology for fingerprint image quality measurement. We propose limited ring-wedge spectral measure to estimate the global fingerprint image features, and inhomogeneity with directional contrast to estimate local fingerprint image features. Experimental results demonstrate the effectiveness of our proposal.