Title :
The Human Visual Recognition Ability for Incomplete Letters
Author :
Jiang, Yinlai ; Wang, Shuoyu
Author_Institution :
Dept. of Intelligent Mech. Syst., Kochi Univ. of Technol.
fDate :
Aug. 30 2006-Sept. 1 2006
Abstract :
The human vision system has high-level recognition abilities and can efficiently and accurately identify an object based on object parts. In the present study, a letter recognition experiment was designed to evaluate recognition of incomplete objects by humans. Five subjects were asked to identify partially erased English letters displayed for short time periods. We found that features and correlations between features significantly influence letter identification. An algorithm based on information entropy is proposed to quantitatively evaluate the importance of letter features and the similarities between letters
Keywords :
character recognition; image recognition; object recognition; visual perception; human vision system; human visual recognition ability; incomplete letter recognition experiment; incomplete object recognition; information entropy; partially erased English letter identification; Artificial intelligence; Displays; Humans; Information entropy; Intelligent systems; Machine vision; Mechanical systems; Pattern recognition; Pixel; Systems engineering and theory;
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
DOI :
10.1109/ICICIC.2006.364
