A Proposed Arabic Handwritten Text Normalization Method
Tarik Abu-Ain
(Pattern Recognition Research Group, Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia)
Siti Norul Huda Sheikh Abdullah
(Pattern Recognition Research Group, Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia)
Khairuddin Omar
(Pattern Recognition Research Group, Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia)
Ashraf Abu-Ein
(Computer Engineering Department, Al-Balqa' Applied University, Faculty of Engineering Technology)
Bilal Bataineh
(Pattern Recognition Research Group, Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia)
Waleed Abu-Ain
(Pattern Recognition Research Group, Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia)
Journal: Journal of ICT Research and Applications
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• ITB Journal Publisher
• ISSN: 2337-5787
Abstract
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 writing line. In 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 direction features of the skeletons are 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 are conducted on IFN/ENIT benchmark Arabic dataset. The results show that the proposed method has a promising and encouraging performance.
Tarik Abu-Ain, Siti Norul Huda Sheikh Abdullah, Khairuddin Omar, et al. (2014). "A Proposed Arabic Handwritten Text Normalization Method". Journal of ICT Research and Applications. https://doi.org/10.5614/itbj.ict.res.appl.2013.7.2.5