Title :
Ground-Truth and Metric for the Evaluation of Arabic Handwritten Character Segmentation
Author :
Elarian, Yousef ; Zidouri, Abdelmalek ; Al-Khatib, Wasfi
Author_Institution :
King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Abstract :
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.
Keywords :
character recognition; document image processing; handwriting recognition; image segmentation; natural language processing; Arabic dataset; Arabic handwritten character segmentation; character-level ground-truth; character-segmentation; evaluation metric; image segmentation; segmentation algorithm; Benchmark testing; Educational institutions; Entropy; Handwriting recognition; Image segmentation; Measurement; Shape; Arabic handwriting; entropy-based metric; ground-truth; segmentation;
Conference_Titel :
Frontiers in Handwriting Recognition (ICFHR), 2014 14th International Conference on
Conference_Location :
Heraklion
Print_ISBN :
978-1-4799-4335-7
DOI :
10.1109/ICFHR.2014.134
