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The development of robotic and informatic technology today had caused sensorbased control system grows rapidly. One of its application is in machine reading where a machine can read as human read. For example, a machine that can read character in an image. In this final project, the author developed...

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Main Author: AMELIA (NIM 102 03 035); Pembimbing : Suprijadi, Dr. Eng., SARI
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/17171
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:17171
spelling id-itb.:171712017-09-27T11:45:10Z#TITLE_ALTERNATIVE# AMELIA (NIM 102 03 035); Pembimbing : Suprijadi, Dr. Eng., SARI Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/17171 The development of robotic and informatic technology today had caused sensorbased control system grows rapidly. One of its application is in machine reading where a machine can read as human read. For example, a machine that can read character in an image. In this final project, the author developed one of the implementation of machine reading in image based numerical character recognition by using perceptron algorithm, a model in artificial neural network. This system combined image processing technique and artificial intelligence approach through four main steps: preprocessing, segmentation, extraction and recognition, and post postprocessing. The result of the training process showed that the network can recognized 3 of 4 of target pattern and determined which character is zero and which one is not. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description The development of robotic and informatic technology today had caused sensorbased control system grows rapidly. One of its application is in machine reading where a machine can read as human read. For example, a machine that can read character in an image. In this final project, the author developed one of the implementation of machine reading in image based numerical character recognition by using perceptron algorithm, a model in artificial neural network. This system combined image processing technique and artificial intelligence approach through four main steps: preprocessing, segmentation, extraction and recognition, and post postprocessing. The result of the training process showed that the network can recognized 3 of 4 of target pattern and determined which character is zero and which one is not.
format Final Project
author AMELIA (NIM 102 03 035); Pembimbing : Suprijadi, Dr. Eng., SARI
spellingShingle AMELIA (NIM 102 03 035); Pembimbing : Suprijadi, Dr. Eng., SARI
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author_facet AMELIA (NIM 102 03 035); Pembimbing : Suprijadi, Dr. Eng., SARI
author_sort AMELIA (NIM 102 03 035); Pembimbing : Suprijadi, Dr. Eng., SARI
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
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url https://digilib.itb.ac.id/gdl/view/17171
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