کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
532887 870012 2007 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Handwritten Bangla numeral recognition system and its application to postal automation
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Handwritten Bangla numeral recognition system and its application to postal automation
چکیده انگلیسی

A recognition system for handwritten Bangla numerals and its application to automatic letter sorting machine for Bangladesh Post is presented. The system consists of preprocessing, feature extraction, recognition and integration. Based on the theories of principal component analysis (PCA), two novel approaches are proposed for recognizing handwritten Bangla numerals. One is the image reconstruction recognition approach, and the other is the direction feature extraction approach combined with PCA and SVM. By examining the handwritten Bangla numeral data captured from real Bangladesh letters, the experimental results show that our proposed approaches are effective. To meet performance requirements of automatic letter sorting machine, we integrate the results of the two proposed approaches with one conventional PCA approach. It has been found that the recognition result achieved by the integrated system is more reliable than that by one method alone. The average recognition rate, error rate and reliability achieved by the integrated system are 95.05%, 0.93% and 99.03%, respectively. Experiments demonstrate that the integrated system also meets speed requirement.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 40, Issue 1, January 2007, Pages 99–107
نویسندگان
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