Feature Extraction from English Handwritten Text for Individuality Detection

EasyChair Preprint no. 1705

Abstract

Detection of individuality in handwriting is an important research topic. In this work various features are extracted from handwritten English text and then analyzed. Simple algorithms are used for the purpose.Experimental results are given for sample images from IAM data set. It is observed that for pre-printed text, skew angle and baseline do not show much variation, whereas zone, slant and pen pressure show enough variation and hence individuality.

Keyphrases: feature extraction, Handwriting analysis, Individuality detection

@Booklet{EasyChair:1705,
  author = {Salankara Mukherjee and Ishita De Ghosh},
  title = {Feature Extraction from English Handwritten Text for Individuality Detection},
  howpublished = {EasyChair Preprint no. 1705},

  year = {EasyChair, 2019}}