Self organizing features map with improved segmentation to identify touching of adjacent characters in handwritten words

• Main Authors: Kurniawan, Fajri, Rehman, Amjad, Mohamad, Dzulkifli, Shamsudin, Siti Mariyam
• Format: Book Section
• Published: Institute of Electrical and Electronics Engineers 2009
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/13096/; http://dx.doi.org/10.1109/HIS.2009.98
• Institution: Universiti Teknologi Malaysia

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...