Handwritten Signature Authentication using Color Coherence Vector and Signing Behavior
Prattana Thoopsamut, Benchaphon Limthanmaphon · 2019
Nowadays, many applications are constructed for supporting the daily human activities. Authentication is a crucial process to access the sensitive data on any applications. This study, we developed a method to verify user identity by using handwritten signature. Color Coherence Vector (CCV) and signing behavior parameters with the stylus pen on android smartphones are used. The experimental results showed that the verification by using signing behavior parameters and image processing based on CCV gives authentication accuracy level of 94%. The verification by signing behavior parameters improves efficiency to detect the mimic handwritten signature.