A three-level classifier: Fuzzy C Means, Support Vector Machine and unique pixels for Arabic handwritten digits

Maen Takruri*, Rami Al-Hmouz, Ahmed Al-Hmouz

*المؤلف المقابل لهذا العمل

نتاج البحث

7 اقتباسات (Scopus)

ملخص

In this study, we present a classification approach for handwritten Arabic digits (symbols). Like numbers in other languages, Arabic numbers consists of nine digits. Character images of Arabic digits are similar in the sense that one single classifier will not give a reliable classification rate. Therefore, the implementation of more levels of classification is important for the realization. We introduce Fuzzy C-Means based classifier for the lower level and Support Vector Machine SVM for the second level when more details are required and finally confirmation of classification will be through unique pixels. The unique pixel method forms the third classification level. It works on determining the pixel areas that are unique to each digit. The unique pixel method decision is compared with decision of the lower classifier (FCM) and top classifier (SVM). The algorithm is tested on 3510 images. The overall testing accuracy reported is 88%.

اللغة الأصليةEnglish
عنوان منشور المضيف2014 World Symposium on Computer Applications and Research, WSCAR 2014
ناشرInstitute of Electrical and Electronics Engineers Inc.
رقم المعيار الدولي للكتب (الإلكتروني)9781479928057
المعرِّفات الرقمية للأشياء
حالة النشرPublished - أكتوبر 3 2014
الحدث2014 World Symposium on Computer Applications and Research, WSCAR 2014 - Sousse
المدة: يناير ١٨ ٢٠١٤يناير ٢٠ ٢٠١٤

Conference

Conference2014 World Symposium on Computer Applications and Research, WSCAR 2014
الدولة/الإقليمTunisia
المدينةSousse
المدة١/١٨/١٤١/٢٠/١٤

ASJC Scopus subject areas

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