Optical Character Recognition (OCR) for Mobile Application

• Main Author: Salameh, Anas Abdelsatar Mohammad
• Format: Thesis
• Language: English; English
• Published: 2010
• Subjects: QA71-90 Instruments and machines
• 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; https://etd.uum.edu.my/2333/; http://lintas.uum.edu.my:8080/elmu/index.jsp?module=webopac-l&action=fullDisplayRetriever.jsp&szMaterialNo=0000764989

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.