DocumentCode :
3582792
Title :
Using codebooks generated from text skeletonization for forensic writer identification
Author :
Al-Maadeed, Somaya ; Hassaine, Abdelaali ; Bouridan, Ahmed
Author_Institution :
Qatar Univ., Doha, Qatar
fYear :
2014
Firstpage :
729
Lastpage :
733
Abstract :
In this paper, we propose a novel approach for writer identification using codebook generation based on text skeletonization.Unlike other schemes, the skeleton in this approach is segmented at its junction pixels into elementary graphic units called graphemes. The codebook is generated by clustering the graphemes according to their distributions into a predefined grid. This method has been evaluated using the benchmarking dataset of the International Conference on Document Analysis and Recognition (ICDAR 2011) writer identification contest and has shown promising results. We also studied the effect of the amount of handwriting on the identification accuracy of the method and demonstrated that the proposed method is valid for Latin and Greek languages.
Keywords :
handwriting recognition; handwritten character recognition; image segmentation; image thinning; natural language processing; statistical distributions; text analysis; Greek language; ICDAR 2011 writer identification contest; International Conference on Document Analysis and Recognition; Latin language; codebook generation; elementary graphic units; forensic writer identification; grapheme clustering; grapheme distribution; handwriting; junction pixels; skeleton segmentation; text skeletonization; Accuracy; Benchmark testing; Handwriting recognition; Image segmentation; Junctions; Skeleton; Text analysis; Codebook generation; Distribution grid; Forensic document examination; Writer identification; Zhang skeleton;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Systems and Applications (AICCSA), 2014 IEEE/ACS 11th International Conference on
Type :
conf
DOI :
10.1109/AICCSA.2014.7073272
Filename :
7073272
Link To Document :
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