Heuristic vs neuro heuristic script segmentation and recognition: a performance comparison on benchmark database

• Main Authors: Rehman, Amjad, Kurniawan, Fajri, Mohamad, Dzulkifli
• Format: Conference or Workshop Item
• Published: 2009
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/15260/
• Institution: Universiti Teknologi Malaysia

This paper compares our two segmentation techniques for cursive handwriting recognition. In the first approach, following heuristic segmentation a set of rules is applied lo come out with real segmentation points. Whereas, in the second, prospective segmentation points of heuristic segmenter are validated by a trained ANN and therefore invalid segmentation points are rejected. For character classification, hybrid features are extracted of ultimate segmented characters by each approach and are fed to ANN trained with segmented character recognition. Techniques are tested and compared on IAM benchmark database with consistent.