Segmentation of Answer Section and Extraction of Character Lines from Handwritten Answer Sheet Image for Automatic Grading System

Abstract

We propose a new segmentation process of answer section for the automatic grading system. The segmentation process is based on marginal distributions of black pixels on an answer sheet image. As a result of experiments, the correct segmentation rate of answer sectio n is 97.2% for 71 handwritten answer sheets