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All Journal Journal of Deep Learning, Computer Vision and Digital Image Processing
Ishak
State University of Makassar
Computer Science & IT

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Identifikasi Identifikasi Tulisan Tanda Tangan Menggunakan Algoritma Convolutional Neural Network Ihlasul Amal; Ishak; Muh.Devan Fahresi; Maulana Muhammad
Journal of Deep Learning, Computer Vision, and Digital Image Processing Vol 1 No 2 (2023): Volume 1 Issue 2 September 2023
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/decoding.v1i2.157

Abstract

Signature is the outcome of a writing process with distinct characteristics, serving as one of the proofs of the validity of an agreement conducted by two or more parties as evidence of identity verification. This study aims to design a system capable of identifying an individual based on inputted signature images into the system. The rapid development of knowledge can certainly be leveraged to facilitate and address issues in human daily life, one of which is the application of expertise in the field of pattern recognition, enabling the creation of a signature identification system. There are five main stages employed in this research, namely image acquisition, image augmentation, system architecture design, training process, and testing process. The research results demonstrate that the applied method proves to be effective in designing a signature identification system. This is substantiated by the accuracy level of the system testing reaching 98.148%.
Co-Authors Ihlasul Amal Maulana Muhammad Muh.Devan Fahresi