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The algorithm, for Arabic handwriting recognition, obtained 90.46 recognition rate. The proposed system has been compared with other systems in the literature. It has achieved the second best recognition rate.<\/p>","DOI":"10.4018\/ijcvip.2011040105","type":"journal-article","created":{"date-parts":[[2011,10,19]],"date-time":"2011-10-19T16:09:04Z","timestamp":1319040544000},"page":"58-77","source":"Crossref","is-referenced-by-count":4,"title":["Evaluation Approach of Arabic Character Recognition"],"prefix":"10.4018","volume":"1","author":[{"given":"Hanan","family":"Aljuaid","sequence":"first","affiliation":[{"name":"University Technology Malaysia, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dzulkifli","family":"Mohamad","sequence":"additional","affiliation":[{"name":"University Technology Malaysia, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3196-9132","authenticated-orcid":true,"given":"Muhammad","family":"Sarfraz","sequence":"additional","affiliation":[{"name":"Kuwait University, Kuwait"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2432","reference":[{"key":"ijcvip.2011040105-0","unstructured":"Abdullah, S. 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