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1 June 1991 Color character recognition method based on a model of human visual processing
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Abstract
Color is one of the most important types of visual information in various environmental conditions such as space, underwater and so on. This area of study, however, is still a young technology. In particular, the use of color vision in a color bar-code detecting system is a new area. On the other hand, neural net models have been studied for many years in the hope of achieving human-like performance. This paper deals with a color character recognition method based on a model of human visual processing. To realize a higher level of color character recognition, a new apparatus is constructed. The apparatus mainly consists of a color CCD camera corresponding to human eye, an image board, a neuro board and a microcomputer. In this experiment, ten characters are selected from a normal typewriter, and five kinds of colors are used as color characters and background colors under the illumination of a fluorescent lamp. The neuro board consists of an image pipe line processor and its network has three hierarchical structures using a back-propagation method. The experiment is carried out by employing models of human visual processing. The results show that it can recognize characters and colors at the same time.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kazuo Yamaba and Yoichi Miyake "Color character recognition method based on a model of human visual processing", Proc. SPIE 1453, Human Vision, Visual Processing, and Digital Display II, (1 June 1991); https://doi.org/10.1117/12.44364
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