文章基本信息

标题：Offline signature recognition system using oriented FAST and rotated BRIEF
本地全文：下载
作者：Abdel-Karim Al-Tamimi ; Asseel Qasaimeh ; Kefaya Qaddoum 等
期刊名称：International Journal of Electrical and Computer Engineering
电子版ISSN：2088-8708
出版年度：2021
卷号：11
期号：5
页码：4095-4103
DOI：10.11591/ijece.v11i5.pp4095-4103
语种：English
出版社：Institute of Advanced Engineering and Science (IAES)
摘要：Despite recent developments in offline signature recognition systems, there is however limited focus on the recognition problem facet of using an inadequate sample size for training that could deliver reliable and easy to use authentication systems. Signature recognition systems are one of the most popular biometric authentication systems. They are regarded as non-invasive, socially accepted, and adequately precise. Research on offline signature recognition systems still has not shown competent results when a limited number of signatures are used. This paper describes our proposed practical offline signature recognition system using the oriented FAST and rotated BRIEF (ORB) feature extraction algorithm. We focus on the practicality of the proposed system, which requires only the minimum number of signatures per user to achieve a high level of fidelity. We manifest the practicality of our approach with a signature database of 300 signatures from 100 different individuals, implying that only two signatures are needed per person to train the proposed system. Our proposed solution achieves a 91% recognition rate with a median matching time of only 7 ms.
关键词：BRIEF;offline authentication;ORB;signature recognition;verification system