A New Approach and Algorithm for Baseline Detection of Arabic Handwriting
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 4
Abstract
Abstract : Automatic baseline detection of handwritten Arabic words is a crucial task for OCR. It is extensively used in many preprocessing processes such as text normalization, skew/slant correction, and letters segmentation. Due to its importance, many techniques and algorithms were proposed in the literature to meet this need. However, most of the proposed methods cannot correctly detect the baseline of words that are skewed, short, have stacked-letters, and/or have unbalanced letters sizes. This paper addresses this gap by introducing a novel approach and algorithm that is capable of correctly detect the baseline of handwritten Arabic words regardless of any challenges involved in the word. The paper also verified the proposed approach via implementing it in a C code program and then applied it to the AHDB dataset. The obtained results show a successful rate more than 98%.
Authors and Affiliations
Abdullah Baz , Mohammed Baz
Keywords
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