Isolated Handwritten Eastern Arabic Numerals Recognition Using Support Vectors Machines  

Oleh:

Kessab, B. El ; Daoui, C. ; Bouikhalene, B. ; Salouan, R.

Jenis: Article from Journal - ilmiah nasional - terakreditasi DIKTI
Dalam koleksi: Telkomnika Indonesian Journal of Electrical Engineering vol. 15 no. 02 (Aug. 2015), page 346-351.
Topik: Isolated handwritten eastern arabic numerals; median filter; thresholding; centering; normalization; retinal coding method; and the support vectors machines.
Fulltext: 8376-18575-1-PB.pdf (310.14KB)

Isi artikel

In this paper, we present a comparison between the different variations of virtual retina (grid size) in features extraction with the support vectors machines classifier for isolated handwritten Eastern Arabic numerals recognition. For this purpose we have used for pre-processing each numeral image the median filter, the thresholding, normalization and the centering techniques. Furthermore, the experements results that we have obtained demonstrate really that the most powerful method is that virtual retina size equal 20x20. This work has achieved approximately 85% of success rate for Eastern Arabic numerals database identification.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali