Text Normalization Method for Arabic Handwritten Script
Tarik Abu-Ain, Siti Norul Huda Sheikh Abdullah, Khairuddin Omar, Ashraf Abdel-Karim Helal Abu-Ein, Bilal Bataineh, Waleed Abdel karim Abu-ain · Journal of ICT Research and Applications · 2013
Text normalization is an important technique in document image analysis and recognition.It consists of many preprocessing stages, which include slope correction, text padding, skew correction, and straight the writ this side, text normalization has an important role in many procedures such as text segmentation, feature extraction and characters recognition.In the present article, a new method for text baseline detection, straightening, and slant correction for Arabic handwritten texts is proposed.The method comprises a set of sequential steps: first components segmentation is done followed by components text thinning; then, the direc extracted, and the candidate baseline regions are determined.After that, selection of the correct baseline region is done, and finally, the baselines of all components are aligned with the writing line.The experiments IFN/ENIT benchmark Arabic dataset.The results show that the proposed method has a promising and encouraging performance.