@inproceedings{01c67ad7baf44069b2e50759e01a39ea,
title = "Novel approaches for minutiae verification in fingerprint images",
abstract = "A majority of the existing fingerprint recognition algorithms are based on matching minutia features. Therefore, minutiae extraction is one of the critical steps in fingerprint verification algorithms. Poor quality fingerprint images lead to missing and spurious minutiae that degrate the performance of the matching system. We propose two new techniques for minutiae verification based on non-trivial gray level features. The proposed features intuitively represents the structual properties of the minutiae neighborhood leading to better classification. We use directionally selective steerable wedge filters to differentiate between minutiae and non-minutiae neighborhoods We also propose a second technique based on Gabor expansion that results in even better discrimination. We present an objective evaluation of both the algorithms.",
author = "Sharat Chikkerur and Venu Govindaraju and Sharath Pankanti and Ruud Bolle and Nalini Ratha",
year = "2005",
doi = "10.1109/ACVMOT.2005.85",
language = "English",
isbn = "0769522718",
series = "Proceedings - Seventh IEEE Workshop on Applications of Computer Vision, WACV 2005",
publisher = "IEEE Computer Society",
pages = "111--116",
booktitle = "Proceedings - Seventh IEEE Workshop on Applications of Computer Vision, WACV 2005",
address = "United States",
note = "7th IEEE Workshop on Applications of Computer Vision, WACV 2005 ; Conference date: 05-01-2005 Through 07-01-2005",
}