Improved statistical features for cursive character recognition

• Main Authors: Saba, Tanzila, Rehman, Amjad, Sulong, Ghazali
• Format: Article
• Published: ICIC International 2011
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/29164/; http://www.ijicic.org/contents.htm
• Institution: Universiti Teknologi Malaysia

This paper presents an improved feature extraction technique for the cursive characters recognition. This technique can be applied in the perspective of handwritten word recognition system based on segmentation. The bases of fused statistical features extraction technique are improved projection pro...