Automatically Algorithm for Physician’s Handwritten Segmentation on Prescription

Abstract

Text detection is an important prerequisite for many content-based image analysis tasks. In this paper proposed a novel approach for physician's handwritten text region detection algorithm based on the threshold and the basis of 4 and 8-connected component. The handwriting style of people are privacy. Especially, the physician's handwritten is unique and particular word like medical name, symbolic, symptoms of disease. The prescription form from different health care are different layout then using blank form to delete the recorded form is not enough because that is fix and restrict with form. Our method do not adhered to lay out the form but we used interest of region. The good experimental result shows handwritten text detection and extraction.

Authors and Affiliations

Narumol Chumuang, Mahasak Ketcham

Keywords

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  • EP ID EP600343
  • DOI -
  • Views 171
  • Downloads 0

How To Cite

Narumol Chumuang, Mahasak Ketcham (2018). Automatically Algorithm for Physician’s Handwritten Segmentation on Prescription. International Journal of the Computer, the Internet and Management, 26(2), 123-128. https://europub.co.uk/articles/-A-600343