Implementation of artificial neural network: Back propagation method on face recognition system

Riki Mukhaiyar; Reza Safitri

doi:10.1109/QIR.2019.8898276

Implementation of artificial neural network: Back propagation method on face recognition system

Closed

Riki Mukhaiyar, Reza Safitri

2019 2019 16th International Conference on Quality in Research, QIR 2019 - International Symposium on Electrical and Computer Engineering Conference paper Cited by 4

Abstract

Face recognition is commonly applied to recognize an authorized personal in accessing secured personal information. Each personal owns a specific trait/feature on their face. Many researchers in this field make a pattern of the feature to analyze the characteristic of it. In this paper, author introduce a method called as an artificial neural network (ANN) to analyze and memorize the feature of the face likes how a brain work in remembering anything. Author used a back propagation (BP-ANN) approach of ANN to build a network mapping of the system. BP-ANN would equalize the ability to recognize the input pattern of task with the pattern used along the training process of the ANN. So, the percentage of the recognition process is reliable. © 2019 IEEE.

Affiliations

Universitas Negeri Padang, ISPAI Research Group, Dept. of Electrical Engineering, Padang, Indonesia

View full text (DOI) →

Research at a Glance

Research at a Glance

Topics & SDG Alignment

Collaboration

Author Profile (Selected)

References Overview

Journal & Source

Metadata & Integrity