TY - JOUR
KW - Text Classification
KW - Hidden Markov Models
KW - Arabic Documents
KW - Components
AU - Youssef Boulid
AU - Abdelghani Souhar
AU - Mohamed Elyoussfi Elkettani
AB - In a character recognition systems, the segmentation phase is critical since the accuracy of the recognition depend strongly on it. In this paper we present an approach based on Markov Decision Processes to extract text lines from binary images of Arabic handwritten documents. The proposed approach detects the connected components belonging to the same line by making use of knowledge about features and arrangement of those components. The initial results show that the system is promising for extracting Arabic handwritten lines.
IS - Special Issue on Artificial Intelligence Underpinning
M1 - 1
N2 - In a character recognition systems, the segmentation phase is critical since the accuracy of the recognition depend strongly on it. In this paper we present an approach based on Markov Decision Processes to extract text lines from binary images of Arabic handwritten documents. The proposed approach detects the connected components belonging to the same line by making use of knowledge about features and arrangement of those components. The initial results show that the system is promising for extracting Arabic handwritten lines.
PY - 2016
SP - 31
EP - 36
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - Detection of Text Lines of Handwritten Arabic Manuscripts using Markov Decision Processes
UR - http://www.ijimai.org/JOURNAL/sites/default/files/files/2016/02/ijimai20164_1_6_pdf_34205.pdf
VL - 4
SN - 1989-1660
ER -