An Arabic handwriting synthesis system

作者：Elarian Yousef; Ahmad Han; Awaida Sameh; Al Khan Wasfi G; Zidouri Abdelmalek^*

来源：Pattern Recognition, 2015, 48(3): 849-861.

DOI：10.1016/j.patcog.2014.09.013

• Arabic handwriting
• Handwriting synthesis
• Training data
• Offline text recognition
• Statistical model

In this paper, we present an Arabic handwriting synthesis system. Two concatenation models to synthesize Arabic words from segmented characters are adopted: Extended-Glyphs connection and Synthetic-Extensions connection. We use our system to synthesize handwriting from a collected dataset and inject it into an expanded dataset. We experiment by training a state-of-the-art Arabic handwriting recognition system on the collected dataset, as well as on the expanded dataset, and test it on the IFN/ENIT Arabic benchmark dataset We show significant improvement in recognition performance due to the data that was synthesized by our system.

• 出版日期2015-3
• 单位中国石油大学（北京）