Temporal Order Recovery of the Scanned Handwriting

In this paper, we present a new approach to the temporal order restoration of the off-line handwriting. After the preprocessing steps of the word image, a suitable algorithm makes it possible to segment its skeleton in three types of strokes. After that, we developed a genetic algorithm GA in order to optimize the best trajectory of these segments. The repetition of a segment will be studied in a secondary algorithm so that we do not disturb the GA operations. The techniques used in GA are the selection, crossover and the mutation. The fitness function value depends on right-left direction (direction of the Arab writing), the segments repetition and angular deviation on the crossing of the occlusion stroke. To validate our approach, we tested it on the On/Off LMCA dual Arabic handwriting, the Latin IRONOFF and the off-line IFN/ENIT datasets.

• Type: Conference
• Year: 2009
• Where: ICDAR
• Authors: Abdelkarim Elbaati, Monji Kherallah, Abdellatif Ennaji, Adel M. Alimi
• Keywords: Algorithm, Document Analysis, Genetic Algorithm Ga, ICDAR 2009, Temporal Order Restoration