Title Of Paper:
 
 
Isolated Handwritten Roman Numerals Recognition Using The Zoning Methods
Author's Name :  B. EL KESSAB, C. DAOUI, B. BOUIKHALENE , R. SALOUAN
KeyWords:  Isolated Handwritten Roman Numerals Recognition, median filter, thresholding, normalization, thinning, centering, skeletonization, zoning method, the support vectors machines.
Pages:  8 -18
Volume: 3
Issue: 5
Year: 2015
Abstract:
 

In this paper, we present two comparisons in isolated handwritten Roman numerals recognition, in fact the first comparison is between zoning methods exploited in features extraction which are the square zones or the triangular zones used in extraction characteristic; in contrast the second comparison is performed in order to deduce what is the most powerful between the type of writing used with a pen or marker. For this purpose we have used for pre-processing each numeral image the median filter, the thresholding, the normalization, the thinning, the centering and the skeletonization techniques. Furthermore, the experiments results that we have obtained demonstrates really that the most powerful method is that the zoning with 9 square then with 8 triangular. This work has achieved approximately 85% of success rate for Roman numerals database identification.

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