Open AccessBackpropagation Algorithm on Implementation of Signature Recognition
Author(s) -
Rini Sovia,
Musli Yanto,
Widya Nursanty
Publication year - 2021
Publication title -
upi yptk journal of computer scine and information technology
Language(s) - English
Resource type - Journals
ISSN - 2502-1486
DOI - 10.35134/jcsitech.v7i2.4
Subject(s) - backpropagation , artificial neural network , computer science , signature (topology) , process (computing) , identification (biology) , artificial intelligence , identity (music) , pattern recognition (psychology) , multilayer perceptron , perceptron , matching (statistics) , machine learning , data mining , algorithm , mathematics , botany , geometry , physics , acoustics , biology , operating system , statistics
Many things are required by all parties, especially in the process of recognition of one's identity, ranging from health care, maintenance of bank accounts, aviation services, immigration and others.Many ways of proving one's identity and the most popular one is using a signature.The signature is used as an identification system which serves to recognize a person's identity.Recognition process is still done manually by matching the signature by the person concerned.Therefore, the very need for a system that is able to analyze and identify the characteristics of the signature, so it can be used as an alternative to simplify the process of introducing people’s signature.Artificial neural networks can be used as one of the solutions in identification of signatures.Artificial neural network is a branch of science of artificial intelligence that is capable of processing information with the performance of certain characteristics.Artificial neural networks have some method such as perceptron, Hopfield discrete, Adaline, Backpropagation, and Kohonen.In this paper, the artificial neural network with back propagation method is applied in the process of signature and patternrecognition which provided a solution that is able to analyze and recognize people's signature.Implementation of the application of neural networks in pattern recognition signature can further be applied to any computer that handles problems in the process of matching one's data.