Look inside the world of parts of handwritten characters

Wang Song, Seiichi Uchida, Marcus Liwicki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Part-based recognition is expected to be robust in difficult handwritten character recognition tasks. This is because part-based recognition is based on aggregation of independent recognition results at individual local parts without considering their global relations and thus is robust against various deformations, such as partial occlusion, overlap, broken stroke, etc. Since part-based recognition is a new approach, there are still several open problems toward its practical use. For example, compared with entire images, local parts are more ambiguous, i.e., less discriminative. For better recognition accuracy and less computations, we need to know the characteristics of local parts and then, for example, discard less discriminative parts. The purpose of this paper is to conduct some experiments in order to observe and analyze how the local parts of multiple classes are distributed in feature spaces. By handling parts appropriately based on the analysis, we will be able to enhance the usefulness of the part-based method.

Original languageEnglish
Title of host publicationProceedings - 11th International Conference on Document Analysis and Recognition, ICDAR 2011
Pages784-788
Number of pages5
DOIs
Publication statusPublished - Dec 2 2011
Event11th International Conference on Document Analysis and Recognition, ICDAR 2011 - Beijing, China
Duration: Sep 18 2011Sep 21 2011

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
ISSN (Print)1520-5363

Other

Other11th International Conference on Document Analysis and Recognition, ICDAR 2011
CountryChina
CityBeijing
Period9/18/119/21/11

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

Fingerprint Dive into the research topics of 'Look inside the world of parts of handwritten characters'. Together they form a unique fingerprint.

Cite this