Kurniawan, Fajri and Rehman, Amjad and Mohamad, Dzulkifli and Shamsudin, Siti Mariyam (2009) Self organizing features map with improved segmentation to identify touching of adjacent characters in handwritten words. In: Proceedings - 2009 9th International Conference on Hybrid Intelligent Systems, HIS 2009. Institute of Electrical and Electronics Engineers, New York, 475 -480. ISBN 978-076953745-0
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Official URL: http://dx.doi.org/10.1109/HIS.2009.98
This paper presents an intelligent technique for segmentation of off-line cursive handwritten words particularly on touching characters problem. In this study, Self Organizing Feature Maps (SOM) is implemented to identify the touching portion of the cursive words. The image of the connected characters is preprocessed and the core-zone is detected to overcome ascender and descender of the touched character. Prior to clustering, the pixels of the image are mapped into coordinate system as features vector. These features vector are clustered into three classes: left, right and middle region, and the vertical segmentation is performed using SOM to determine the winner node of middle region. The experiments are conducted using syntactic CCC database. The results show that the proposed algorithm yields promising segmentation output and feasible with other existing techniques.
|Item Type:||Book Section|
|Additional Information:||2009 9th International Conference on Hybrid Intelligent Systems, HIS 2009; Shenyang; 12 August 2009 through 14 August 2009|
|Uncontrolled Keywords:||cursive handwritten, self-organizing map, syntactic database, touching character segmentation|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Divisions:||Computer Science and Information System|
|Deposited By:||Liza Porijo|
|Deposited On:||18 Jul 2011 07:56|
|Last Modified:||18 Jul 2011 07:56|
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