Segmentation techniques for recognition of Arabic-like scripts: A comprehensive survey
Arabic script based text recognition system has been a popular field of research for many years that can be used in the learning and teaching process to the students and educators how to read and understand educational contents of Arabic script. The challenging nature of Arabic script recognition ha...
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Veröffentlicht in: | Education and information technologies 2016-09, Vol.21 (5), p.1225-1241 |
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creator | Naz, Saeeda Umar, Arif I. Shirazi, Syed H. Ahmed, Saad B. Razzak, Muhammad I. Siddiqi, Imran |
description | Arabic script based text recognition system has been a popular field of research for many years that can be used in the learning and teaching process to the students and educators how to read and understand educational contents of Arabic script. The challenging nature of Arabic script recognition has attracted the attention of researchers from both industry and academic circles but these efforts have not achieved good results until now. Segmentation of Urdu script when written in Nasta’liq writing style is very difficult task due to the complexity of writing style as compare to Naskh writing style. Good segmentation is one of the reasons for high accuracy. Character segmentation has been a critical phase of the OCR process. The higher recognition rates for isolated characters as compare to results of words or connected character well illustrate the importance of segmentation. Current study investigates the recent work for character segmentation and challenges for segmentation for Arabic script based languages. |
doi_str_mv | 10.1007/s10639-015-9377-5 |
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The challenging nature of Arabic script recognition has attracted the attention of researchers from both industry and academic circles but these efforts have not achieved good results until now. Segmentation of Urdu script when written in Nasta’liq writing style is very difficult task due to the complexity of writing style as compare to Naskh writing style. Good segmentation is one of the reasons for high accuracy. Character segmentation has been a critical phase of the OCR process. The higher recognition rates for isolated characters as compare to results of words or connected character well illustrate the importance of segmentation. 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Current study investigates the recent work for character segmentation and challenges for segmentation for Arabic script based languages.</description><subject>Arabic language</subject><subject>Character Recognition</subject><subject>Computer Appl. in Social and Behavioral Sciences</subject><subject>Computer Science</subject><subject>Computers and Education</subject><subject>Education</subject><subject>Educational Technology</subject><subject>Electronic Equipment</subject><subject>Handwriting</subject><subject>Information Systems Applications (incl.Internet)</subject><subject>Language instruction</subject><subject>Reading Skills</subject><subject>Semitic Languages</subject><subject>Surveys</subject><subject>Teaching Methods</subject><subject>Urdu</subject><subject>User Interfaces and Human Computer Interaction</subject><subject>Writing instruction</subject><issn>1360-2357</issn><issn>1573-7608</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1UUlLxDAULqLguPwAD0LBczTLpGm9DYMrAx5criFNX8aM02RMOgP-e1MrLqC8Qx75lvceX5YdEXxKMBZnkeCCVQgTjiomBOJb2YhwwZAocLmdelZgRBkXu9lejAuMcSXGdJQ93cO8BdepznqXd6CfnX1dQ8yND3kA7efOfkDe5JOgaqvR0r5AHnWwqy6e55Nc-3YV4BlctJsErMMG3g6yHaOWEQ4_3_3s8fLiYXqNZndXN9PJDOkx5h0qx1UJTc2V1hRozUmtSkYVqw1noikUAVpxTTUoAFaVDSVQcFPUpoKmMY1i-9nJ4LsKvl-7kwu_Di6NlKQk6caCcPrNmqslSOuM74LSrY1aTgRhgowp7lmnf7BSNdBa7R0Ym_5_Ccgg0MHHGMDIVbCtCm-SYNmnIodUZEpF9qlInjTHgwaC1V_8i1uSluWi96QDHhPm5hB-HPSv6Ttr8Jln</recordid><startdate>20160901</startdate><enddate>20160901</enddate><creator>Naz, Saeeda</creator><creator>Umar, Arif I.</creator><creator>Shirazi, Syed H.</creator><creator>Ahmed, Saad B.</creator><creator>Razzak, Muhammad I.</creator><creator>Siddiqi, Imran</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7XB</scope><scope>88B</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>CJNVE</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>M0P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PQEDU</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20160901</creationdate><title>Segmentation techniques for recognition of Arabic-like scripts: A comprehensive survey</title><author>Naz, Saeeda ; 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subjects | Arabic language Character Recognition Computer Appl. in Social and Behavioral Sciences Computer Science Computers and Education Education Educational Technology Electronic Equipment Handwriting Information Systems Applications (incl.Internet) Language instruction Reading Skills Semitic Languages Surveys Teaching Methods Urdu User Interfaces and Human Computer Interaction Writing instruction |
title | Segmentation techniques for recognition of Arabic-like scripts: A comprehensive survey |
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