Ground-Truth and Metric for the Evaluation of Arabic Handwritten Character Segmentation
Yousef Elarian, Abdelmalek Zidouri, Wasfi G. Al-Khatib · 2014
In this paper, we present a character-level ground-truth for an Arabic dataset of 8,640 character-shapes along with an evaluation metric that is adapted from image segmentation. These tools together constitute a benchmark for character-segmentation. We demonstrate the use of this benchmark on some segmentation algorithms and report their quantitative results in bits. Our approach can be extended to other scripts.