DocumentCode
2989483
Title
Human-based character string image retrieval from textual images
Author
Yokosawa, Kazuhiko
Author_Institution
ATR Auditory & Visual Perception Res. Lab., Kyoto, Japan
fYear
1989
fDate
14-17 Nov 1989
Firstpage
1068
Abstract
A direct character-string retrieval method based on human search characteristics is proposed for Japanese textual image processing. In an experiment in which human subjects were to identify characters shown on a CRT screen, character-string search performance was better than single-character search performance in Japanese sentence contexts. This result suggests that character strings contain more information than characters alone. The analysis of reaction times shows that there are two stages in visual search. A character-string image retrieval system which, human-like, has two stages is effective in searching target images in ninety Japanese textual images. Moreover, human-like performance is obtained from the system: for example, it more easily identifies character-string images than single-character images
Keywords
optical character recognition; visual perception; Japanese textual image processing; character recognition; character string image retrieval; character-string search; human search characteristics; single-character search; Data mining; Feature extraction; Humans; Image retrieval; Image segmentation; Keyboards; Laboratories; Psychology; Text processing; Visual perception;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 1989. Conference Proceedings., IEEE International Conference on
Conference_Location
Cambridge, MA
Type
conf
DOI
10.1109/ICSMC.1989.71460
Filename
71460
Link To Document