Distance between histograms of angular measurements and its application to handwritten character similarity

Author

Cha, Sung-Hyuk ; Srihari, Sargur N.

Author_Institution

Center of Excellence for Document Analysis & Recognition, State Univ. of New York, Buffalo, NY, USA

Volume

2

fYear

2000

fDate

2000

Firstpage

21

Abstract

The similarity between two histograms has attracted many researchers in various fields. The type of histograms to be matched is often angular such as gradient directions in character images and hue values in color images. The distance between two angular type histograms differs from those of nominal or ordinal type histograms; however, conventional distance measures do not distinguish them. Thus we present a new algorithm to compute the newly proposed distance. We describe how to apply the distance to handwritten character similarity

Keywords

computational complexity; handwritten character recognition; image colour analysis; pattern classification; angular measurements; angular type histograms; color histogram; computational complexity; distance measures; gradient histogram; handwritten character similarity; Character recognition; Color; Frequency; Handwriting recognition; Histograms; Image analysis; Indexing; Pattern analysis; Pattern classification; Text analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2000. Proceedings. 15th International Conference on

Conference_Location

Barcelona

ISSN

1051-4651

Print_ISBN

0-7695-0750-6

Type

conf

DOI

10.1109/ICPR.2000.906010

Filename

906010