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Bilal Bataineh
Pattern Recognition Research Group, Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia
Computer Science & IT

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A Proposed Arabic Handwritten Text Normalization Method Tarik Abu-Ain; Siti Norul Huda Sheikh Abdullah; Khairuddin Omar; Ashraf Abu-Ein; Bilal Bataineh; Waleed Abu-Ain
Journal of ICT Research and Applications Vol. 7 No. 2 (2013)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2013.7.2.5

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.
A Fast and Efficient Thinning Algorithm for Binary Images Tarik Abu-Ain; Siti Norul Huda Sheikh Abdullah; Bilal Bataineh; Khairuddin Omar
Journal of ICT Research and Applications Vol. 7 No. 3 (2013)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2013.7.3.3

Abstract

Skeletonization "also known as thinning" is an important step in the pre-processing phase in many of pattern recognition techniques. The output of Skeletonization process is the skeleton of the pattern in the images. Skeletonization is a crucial process for many applications such as OCR and writer identification. However, the improvements in this area are only a recent phenomenon and still require more researches. In this paper, a new skeletonization algorithm is proposed. This algorithm combines between parallel and sequential, which is categorized under an iterative approach. The suggested method is conducted by experiments of benchmark dataset for evaluation. The outcome is to obtain much better results compared to other thinning methods that are discussed in comparison part.
Co-Authors Ashraf Abu-Ein Khairuddin Omar Siti Norul Huda Sheikh Abdullah Tarik Abu-Ain Waleed Abu-Ain