Handwritten Characters Segmentation using Projection Approach
Thi Thi Zin, Shin Thant, Ye Htet, Pyke Tin · 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech) · 2020
In the area of optical character recognition, handwritten character segmentation is still an ongoing process. Having good segmentation result can provide the better recognition accuracy. In the proposed system, segmentation is carried out mainly on labelling and projection concepts. The input word is firstly labelled. Then, the modified word is segmented with projection approach. The experiments are performed on local dataset with 1600 words approximately and the system gets segmentation accuracy around 85.75 percentage.