Optical Character Recognition (OCR) for Mobile Application
The usefulness of integrating different techniques in wireless applications has brought the needs for providing better services in different technical sectors. Wireless Application Protocol (WAP) has been widely used for obtaining the required connection between clients via their handheld devices....
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2010
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| Online Access: | https://etd.uum.edu.my/2333/1/Anas_Abdelsatar_Mohammad_Salameh.pdf https://etd.uum.edu.my/2333/2/1.Anas_Abdelsatar_Mohammad_Salameh.pdf |
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my-uum-etd.23332023-10-30T07:37:06Z Optical Character Recognition (OCR) for Mobile Application 2010 Salameh, Anas Abdelsatar Mohammad Zulkifli, Abdul Nasir College of Arts and Sciences (CAS) College of Arts and Sciences QA71-90 Instruments and machines The usefulness of integrating different techniques in wireless applications has brought the needs for providing better services in different technical sectors. Wireless Application Protocol (WAP) has been widely used for obtaining the required connection between clients via their handheld devices. This study highlights the difficulties that are faced by travelers in understanding foreign text during their journeys to other countries with different native languages. Hence, this study aimed to provide a solution by developing a mobile application based optical character recognition (OCR) for extracting the textual elements from the images. Asprise used in this study to extract the image text contents, meanwhile, Google API translation also used to translate the extracted contents into the selected language. The experiment result indicated that using Asprise OCR in extracting the text elements from the image was high accuracy among the free and simple OCR. 2010 Thesis https://etd.uum.edu.my/2333/ https://etd.uum.edu.my/2333/1/Anas_Abdelsatar_Mohammad_Salameh.pdf text eng public https://etd.uum.edu.my/2333/2/1.Anas_Abdelsatar_Mohammad_Salameh.pdf text eng public http://lintas.uum.edu.my:8080/elmu/index.jsp?module=webopac-l&action=fullDisplayRetriever.jsp&szMaterialNo=0000764989 masters masters Universiti Utara Malaysia |
| institution |
Universiti Utara Malaysia |
| collection |
UUM ETD |
| language |
eng eng |
| advisor |
Zulkifli, Abdul Nasir |
| topic |
QA71-90 Instruments and machines |
| spellingShingle |
QA71-90 Instruments and machines Salameh, Anas Abdelsatar Mohammad Optical Character Recognition (OCR) for Mobile Application |
| description |
The usefulness of integrating different techniques in wireless applications has brought the needs for providing better services in different technical sectors. Wireless
Application Protocol (WAP) has been widely used for obtaining the required connection between clients via their handheld devices. This study highlights the difficulties that are faced by travelers in understanding foreign text during their journeys to other countries with different native languages. Hence, this study aimed to provide a solution by developing a mobile application based optical character recognition (OCR) for extracting the textual elements from the images. Asprise used in this study to extract the image text contents, meanwhile, Google API translation also used to translate the extracted contents into the selected language. The experiment result indicated that using Asprise OCR in extracting the text elements from the image was high accuracy among the free and simple OCR. |
| format |
Thesis |
| qualification_name |
masters |
| qualification_level |
Master's degree |
| author |
Salameh, Anas Abdelsatar Mohammad |
| author_facet |
Salameh, Anas Abdelsatar Mohammad |
| author_sort |
Salameh, Anas Abdelsatar Mohammad |
| title |
Optical Character Recognition (OCR) for Mobile Application |
| title_short |
Optical Character Recognition (OCR) for Mobile Application |
| title_full |
Optical Character Recognition (OCR) for Mobile Application |
| title_fullStr |
Optical Character Recognition (OCR) for Mobile Application |
| title_full_unstemmed |
Optical Character Recognition (OCR) for Mobile Application |
| title_sort |
optical character recognition (ocr) for mobile application |
| granting_institution |
Universiti Utara Malaysia |
| granting_department |
College of Arts and Sciences (CAS) |
| publishDate |
2010 |
| url |
https://etd.uum.edu.my/2333/1/Anas_Abdelsatar_Mohammad_Salameh.pdf https://etd.uum.edu.my/2333/2/1.Anas_Abdelsatar_Mohammad_Salameh.pdf |
| _version_ |
1783729364254326784 |