Region-based touched character segmentation in handwritten words

• Main Authors: Kurniawan, F., Mohd. Rahim, Mohd. Shafry, Daman, Daut, Rehman, Amjad, Mohamad, Dzulkifli, Shamsudin, Siti Mariam
• Format: Article
• Published: ICIC International 2011
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/29410/

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 characte...