A novel approach towards segmentation of connected handwritten numerals
Deepayan Chakraborty, Rahul Pramanik, Soumen Bag · 2017
Presence of connected numerals in unconstrained handwritten numeral string makes it hard for the recognition systems to provide fast and efficient identification. In this paper, we propose a novel method for segmentation of unconstrained handwritten numeral strings. The proposed method can effectively separate the isolated and connected numerals in any unconstrained handwritten numeral string. This method is tested on NIST Database 19 dataset and observed to provide an accuracy of 95.84%. We have compared our method with two other works to show the efficacy of our proposed method.