Feature Extraction from English Handwritten Text for Individuality Detection

EasyChair Preprint 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: Handwriting analysis, Individuality detection, feature extraction

@booklet{EasyChair:1705,
  author    = {Salankara Mukherjee and Ishita De Ghosh},
  title     = {Feature Extraction from English Handwritten Text for Individuality Detection},
  howpublished = {EasyChair Preprint 1705},
  year      = {EasyChair, 2019}}