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: | |
| كلمات المؤلف المفتاحية: |
Mean Square Error MSE | Character Recognition CR | Arabic Character Recognition AOCR | Pattern Recognition
|
| رابط المحتوى: |
الناشر لهذه المادة لم يسمح بإتاحتها. |
| LEADER | 01896nam a22002177a 4500 | ||
|---|---|---|---|
| 001 | 1984527 | ||
| 041 | |a eng | ||
| 044 | |b العراق | ||
| 100 | |9 660200 |a Al-Saleh, Anwar H. |e Author | ||
| 245 | |a Adaptive OCR Technique for Arabic Characters | ||
| 260 | |b الجامعة المستنصرية - كلية التربية |c 2019 | ||
| 300 | |a 31 - 54 | ||
| 336 | |a بحوث ومقالات |b Article | ||
| 520 | |b 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. | ||
| 653 | |a التقنيات الكتابية |a اللغة العربية |a حروف CR | ||
| 692 | |b Mean Square Error MSE |b Character Recognition CR |b Arabic Character Recognition AOCR |b Pattern Recognition | ||
| 773 | |4 التربية والتعليم |6 Education & Educational Research |c 003 |l 001 |m ع1 |o 1151 |s مجلة كلية التربية |t Journal of Faculty of Education |v 019 |x 1812-0380 | ||
| 856 | |u 1151-019-001-003.pdf | ||
| 930 | |d n |p y |q n | ||
| 995 | |a EduSearch | ||
| 999 | |c 1235656 |d 1235656 | ||
عناصر مشابهة
-
Recognition Of Handwritten Arabic Characters Via Neural Networks
بواسطة: Al Shridah, Muhammad Aref Muhammad منشور: (2000) -
Correcting Arabic OCR Outputs by Morphological Analysis of Words
بواسطة: Sari, Toufik منشور: (2013) -
The Hybrid Techniques by Arabic Typeface Design
بواسطة: Abdalla, Mohamed Hazem M. T. H. منشور: (2019) -
RECOGNITION OF HANDWRITTEN ARABIC CHARACTERS
بواسطة: Al Yousefi, Hamad منشور: (1989) -
HIGH-PERFORMANCE ARABIC CHARACTER RECOGNITION
بواسطة: Al Herbish, Jasir منشور: (1996)
