@inproceedings{e288bac6943c4b52a19f367aa21135bd,
title = "Image quality measures for fingerprint image enhancement",
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.",
author = "Chaohong Wu and Sergey Tulyakov and Venu Govindaraju",
year = "2006",
doi = "10.1007/11848035\_30",
language = "English",
isbn = "3540393927",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "215--222",
booktitle = "Multimedia Content Representation, Classification and Security - International Workshop, MRCS 2006. Proceedings",
address = "Germany",
note = "International Workshop on Multimedia Content Representation, Classification and Security, MRCS 2006 ; Conference date: 11-09-2006 Through 13-09-2006",
}