Handwritten Artefact Identification Method for Table Interpretation with Little Use of Previous Knowledge

Abstract

An artefact identification method for handwritten filled table-forms is presented. Artefacts in table-forms are smudges and overlaps between handwritten data and line segments which increase the complexity of table-form interpretation. After reviewing some knowledge-based methods, a novel artefact identification method to improve table-form interpretation is presented. The proposed method aims to detect, identify and remove table-form artefacts with little use of previous knowledge. Experiments show the significance of using the proposed artefact identification method to improve table-form interpretation rates.