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Dictionary using Text Recognition for Mobile App

Dictionary is reference wellspring of words in a dialect or order, organized sequentially. Notwithstanding characterizing the words, bigger lexicons additionally give data on the spellings, elocution, word sources (historical background), capacities, and diverse types of the word. Through modern yea...

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Main Author: Faisal, Muhammad Hanif
Format: Final Year Project
Language:English
Published: Universiti Teknologi Petronas 2014
Subjects:
T Technology (General)
Online Access:http://utpedia.utp.edu.my/13930/1/MuhammadHanifFaisal_15119_BIS_Thesis_DictionaryUsingTextReco.pdf
http://utpedia.utp.edu.my/13930/
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spelling my-utp-utpedia.139302017-01-25T09:37:59Z http://utpedia.utp.edu.my/13930/ Dictionary using Text Recognition for Mobile App Faisal, Muhammad Hanif T Technology (General) Dictionary is reference wellspring of words in a dialect or order, organized sequentially. Notwithstanding characterizing the words, bigger lexicons additionally give data on the spellings, elocution, word sources (historical background), capacities, and diverse types of the word. Through modern years, technology has rapidly grown to serve humanity with better goods, hence dictionary should also abide to the growth of the technology. E-dictionary or online dictionary has served well for past few years since the introduction of smartphone which led to another possibilities and remove limitations of old age dictionary. With an Artificial Intelligence (AI) making debut as a new trend in passing years, integrating the AI technology into dictionary is the purpose of this study. Although, e-dictionary has solved most of readers problem which is searching the words manually rather consuming times, the search function in most advance e-dictionary prompt to human error such as mistyping and consuming time and limitation of input of language (i.e. Japanese, Mandarin, Thai, Arabic etc.) hence, the development of new kind of dictionary which integrate the AI technology using Android platform to solve these problems. Android is preferred since almost half of the world is using smartphones powered by operating system called Android. Android SDK will be used to develop this application integrating with the Optical Character Recognition (OCR) technology, in other word is the AI technology in more specific term. Tesseract which is being maintained by Apache is the most accurate OCR software available. Integrating these two platforms is the challenge for this application. For translation note, Google Translate API will be used hence another integration will be done. Google Translate API is chosen since Google has updated several of languages at the time of this study Universiti Teknologi Petronas 2014-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/13930/1/MuhammadHanifFaisal_15119_BIS_Thesis_DictionaryUsingTextReco.pdf Faisal, Muhammad Hanif (2014) Dictionary using Text Recognition for Mobile App. Universiti Teknologi Petronas. (Unpublished)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Faisal, Muhammad Hanif
Dictionary using Text Recognition for Mobile App
description Dictionary is reference wellspring of words in a dialect or order, organized sequentially. Notwithstanding characterizing the words, bigger lexicons additionally give data on the spellings, elocution, word sources (historical background), capacities, and diverse types of the word. Through modern years, technology has rapidly grown to serve humanity with better goods, hence dictionary should also abide to the growth of the technology. E-dictionary or online dictionary has served well for past few years since the introduction of smartphone which led to another possibilities and remove limitations of old age dictionary. With an Artificial Intelligence (AI) making debut as a new trend in passing years, integrating the AI technology into dictionary is the purpose of this study. Although, e-dictionary has solved most of readers problem which is searching the words manually rather consuming times, the search function in most advance e-dictionary prompt to human error such as mistyping and consuming time and limitation of input of language (i.e. Japanese, Mandarin, Thai, Arabic etc.) hence, the development of new kind of dictionary which integrate the AI technology using Android platform to solve these problems. Android is preferred since almost half of the world is using smartphones powered by operating system called Android. Android SDK will be used to develop this application integrating with the Optical Character Recognition (OCR) technology, in other word is the AI technology in more specific term. Tesseract which is being maintained by Apache is the most accurate OCR software available. Integrating these two platforms is the challenge for this application. For translation note, Google Translate API will be used hence another integration will be done. Google Translate API is chosen since Google has updated several of languages at the time of this study
format Final Year Project
author Faisal, Muhammad Hanif
author_facet Faisal, Muhammad Hanif
author_sort Faisal, Muhammad Hanif
title Dictionary using Text Recognition for Mobile App
title_short Dictionary using Text Recognition for Mobile App
title_full Dictionary using Text Recognition for Mobile App
title_fullStr Dictionary using Text Recognition for Mobile App
title_full_unstemmed Dictionary using Text Recognition for Mobile App
title_sort dictionary using text recognition for mobile app
publisher Universiti Teknologi Petronas
publishDate 2014
url http://utpedia.utp.edu.my/13930/1/MuhammadHanifFaisal_15119_BIS_Thesis_DictionaryUsingTextReco.pdf
http://utpedia.utp.edu.my/13930/
_version_ 1739831942160842752
score 13.211869

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