Evaluation of codes and primitives: recognition of unconstrained handwritten numerals

Author

Feray, N. ; de Brucq, D. ; Romeo-Pakker, K. ; Paquet, T.

Author_Institution

LACIS, Mont Saint Aignan, France

Volume

1

fYear

1995

fDate

14-16 Aug 1995

Firstpage

104

Abstract

In this paper, we present a mathematical model for evaluating codes and primitives in optical character recognition. The model is based on code efficiency, calculated from its average length and its transmitted information. This efficiency is obtained from entropies and conditional entropies which are estimated from probabilities of character recognition depending on the issued codes. This method is used to evaluate two sets of primitives in numeral recognition. Then, we propose a method of constructing binary decision trees for the recognition of handwritten numerals. This method is based on the mathematical model previously stated, which is used to process the transmitted information about the primitives. We demonstrate the performance of our system with experiments using real data

Keywords

codes; handwriting recognition; optical character recognition; probability; average length; binary decision trees; codes; conditional entropies; handwritten numerals; mathematical model; optical character recognition; primitives; transmitted information; unconstrained handwritten numerals recognition; Character recognition; Data mining; Decision trees; Entropy; Handwriting recognition; Information theory; Mathematical model; NIST; Optical character recognition software; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on

Conference_Location

Montreal, Que.

Print_ISBN

0-8186-7128-9

Type

conf

DOI

10.1109/ICDAR.1995.598953

Filename

598953