Observation method for mathematical graphology

Author

Toraichi, K. ; Horiuchi, T. ; Haruki, R.

Author_Institution

Inst. of Inf. Sci. & Electron., Tsukuba Univ., Ibaraki, Japan

Volume

2

fYear

1995

fDate

14-16 Aug 1995

Firstpage

656

Abstract

An observation method for mathematical graphology is proposed. The motivation of mathematical graphology is to realize graphological information processing on a machine. Furthermore, mathematical graphology aims to construct a new information theory for visual communication. In order to construct the mathematical model this paper focuses on the observation process, which is the first stage in the model. Based on the physiological saccade phenomena, feature points are extracted which include the important information. Then, contours between adjacent feature points are approximated using smooth functions. The performance of the proposed method is verified by experiments

Keywords

behavioural sciences computing; feature extraction; handwriting recognition; human factors; mathematical morphology; character assessment from handwriting; contours; feature points; graphological information processing; handwriting analysis; information theory; mathematical graphology; observation method; observation process; physiological saccade phenomena; smooth functions; visual communication; Data mining; Feature extraction; Fingerprint recognition; Function approximation; Humans; Image analysis; Information theory; Mathematical model; Spectrogram;

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.1995.601981

Filename

601981