Development of offline handwritten signature authentication using artificial neural network

• Main Authors: Gunawan, Teddy Surya, Mahamud, Norsalha, Kartiwi, Mira
• Format: Conference or Workshop Item
• Language: English
• Published: IEEE 2018
• Subjects: TK Electrical engineering. Electronics Nuclear engineering; TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
• Online Access: http://irep.iium.edu.my/61256/13/61256%20%20Development%20of%20Offline%20Handwritten.pdf; http://irep.iium.edu.my/61256/; http://ieeexplore.ieee.org/document/8308128/

Handwritten signatures are playing an important role in finance, banking and education and more because it is considered to be the “seal of approval” and remains the most preferred means of authentication. In this paper, an offline handwritten signature authentication algorithm is proposed using Art...