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الرئيسية > Adaptive OCR Technique for Ara...>الوصف

Adaptive OCR Technique for Arabic Characters

المصدر: مجلة كلية التربية
الناشر: الجامعة المستنصرية - كلية التربية
المؤلف الرئيسي: Al-Saleh, Anwar H. (Author)
المجلد/العدد: ع1
محكمة: نعم
الدولة: العراق
التاريخ الميلادي: 2019
الصفحات: 31 - 54
ISSN: 1812-0380
رقم MD: 1235656
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: EduSearch
مواضيع:
التقنيات الكتابية | اللغة العربية | حروف CR
كلمات المؤلف المفتاحية:
Mean Square Error MSE | Character Recognition CR | Arabic Character Recognition AOCR | Pattern Recognition
رابط المحتوى:

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المستخلص: OCR is an artificial intelligence, recognition English characters have been solved by a huge number of studies last 3 decades, but Arabic letters which used by at least one billion people have not been definitively resolved yet, therefore In this study proposes an effective approach to the recognition of off-line of 121 Arabic characters which is involves of creating database (DB), contains standard image for 59 main character target and Characters Indexing Table (CIT), contains indices of 62 main character target to be used in recognition process. The (DB) is designed to identify the main body of the 59 unknown characters. The (CIT) is responsible of identifying the secondary components, the number of dots or Hamza that is associated with the body of character and their position. The mean square error classifier (MSE) is used in the recognition stage, where each character is assigned the best 6 matches with the lowest MSE. The lowest MSE value is 0.025 and the highest value is 0.09.
ISSN: 1812-0380

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