Online signature verification using fourier descriptors

Yanıkoğlu, Berrin and Kholmatov, Alisher (2009) Online signature verification using fourier descriptors. EURASIP Journal on Advances in Signal Processing . ISSN 1687-6172 (Print) 1687-6180 (Online)

This is the latest version of this item.

Full text not available from this repository. (Request a copy)

Abstract

We present a novel online signature verification system based on the Fast Fourier Transform. The advantage of using the Fourier domain is the ability to compactly represent an online signature using a fixed number of coefficients. The fixed-length representation leads to fast matching algorithms and is essential in certain applications. The challenge on the other hand is to find the right preprocessing steps and matching algorithm for this representation. We report on the effectiveness of the proposed method, along with the effects of individual preprocessing and normalization steps, based on comprehensive tests over two public signature databases. We also propose to use the pen-up duration information in identifying forgeries. The best results obtained on the SUSIG-Visual subcorpus and the MCYT-100 database are 6.2% and 12.1% error rate on skilled forgeries, respectively. The fusion of the proposed system with our state-of-the-art Dynamic Time Warping (DTW) system lowers the error rate of the DTW system by up to about 25%. While the current error rates are higher than state-of-the-art results for these databases, as an approach using global features, the system possesses many advantages. Considering also the suggested improvements, the FFT system shows promise both as a stand-alone system and especially in combination with approaches that are based on local features.
Item Type: Article
Subjects: Q Science > QA Mathematics > QA075 Electronic computers. Computer science
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng.
Faculty of Engineering and Natural Sciences
Depositing User: Berrin Yanıkoğlu
Date Deposited: 13 Dec 2009 13:22
Last Modified: 24 Jul 2019 12:29
URI: https://research.sabanciuniv.edu/id/eprint/13494

Available Versions of this Item

Actions (login required)

View Item
View Item