Offline signature recognition system using oriented FAST and rotated BRIEF

AL TAMIMI, Abdel-Karim, QASAIMEH, Asseel and QADDOUM, Kefaya (2021). Offline signature recognition system using oriented FAST and rotated BRIEF. International Journal of Electrical and Computer Engineering (IJECE), 11 (5), 4095-4103.

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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.

Item Type: Article
Identification Number:
Page Range: 4095-4103
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 26 Apr 2023 14:13
Last Modified: 11 Oct 2023 15:45

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