Improved Statistical Features for Cursive Character Recognition

  title={Improved Statistical Features for Cursive Character Recognition},
  author={Tanzila Saba and Amjad Rehman and Ghazali Sulong},
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 profile and transition features. To extend this principal, a… CONTINUE READING