Amalia S
Unknown Affiliation

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : International Conference on Engineering and Technology Development (ICETD)

Analysis Implementation Of Artificial Neural Network (ANN) In Character Recognition Amalia S; Vandika A Y
International Conference on Engineering and Technology Development (ICETD) 2017: 4rd ICETD 2017
Publisher : Bandar Lampung University (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (815.029 KB)

Abstract

An artificial neural network is a representation of the 'artificial' of the human brain is always trying to simulate the learning process of the human brain. As nerves are the cells that process information in the brain and form a network as a whole. The term 'artificial' used in neural networks implemented using a computer program that is able to resolve a number of the calculation process during the learning process. An artificial neural network model a structure similar to the human brain. An artificial neural network has been used for image pattern recognition, character, and sound that is always trying to simulate the learning process of the human brain, one it is in the process of character recognition. How it works is an input image is converted to form a 10 x 10 matrix is then stored in a knowledge base file. The patterns saved earlier will be used as a pattern to be referenced at the time of the test pattern on the computer. The test is performed by comparing the test pattern with the pattern that has been stored on a computer by using ANN. Optical Character Recognition (OCR) is an application in pattern recognition to recognize the characters in digital images. OCR applications are already found in smartphones, especiallythe use of Android. Besides adequate hardware specifications for digital image processing, development of open-source library for image processing on the Android facilitate the development of software.