Author/Authors
Benchaou, Soukaina University Mohammed 1 - EST - Labo MATSI, Morocco , Nasri, M’barek University Mohammed 1 - EST - Labo MATSI, Morocco , El Melhaoui, Ouafae University Mohammed 1 - EST - Labo MATSI, Morocco , Bouali, Bouchta University Mohammed 1 - FS - Labo AGA, Morocco
Title Of Article
New structural approach for numeral recognition based on mathematical morphology and Freeman code
شماره ركورد
15237
Abstract
This paper proposes a new structural approach of features extraction for handwritten, printed and isolated numeral recognition based on Freeman code method. The new approach consists first of contour detection and closing it by morphological operators. Then, the Freeman code was applied by widening its directions to 24-connectivity instead of 8-connectivity. Numeral recognition is carried out in this work through k nearest neighbors. The recognition rate obtained by the proposed method is improved indicating that the numeral features extracted contain more details.
From Page
159
NaturalLanguageKeyword
Structural approach , handwritten and printed numeral recognition , features extraction , Freeman chain code , mathematical morphology , K nearest neighbors
JournalTitle
Mediterranean Telecommunications Journal
To Page
163
JournalTitle
Mediterranean Telecommunications Journal
Link To Document