29 June 2005 A smart sensor architecture based on emergent computation in an array of outer-totalistic cells
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Abstract
A novel smart-sensor architecture is proposed, capable to segment and recognize characters in a monochrome image. It is capable to provide a list of ASCII codes representing the recognized characters from the monochrome visual field. It can operate as a blind's aid or for industrial applications. A bio-inspired cellular model with simple linear neurons was found the best to perform the nontrivial task of cropping isolated compact objects such as handwritten digits or characters. By attaching a simple outer-totalistic cell to each pixel sensor, emergent computation in the resulting cellular automata lattice provides a straightforward and compact solution to the otherwise computationally intensive problem of character segmentation. A simple and robust recognition algorithm is built in a compact sequential controller accessing the array of cells so that the integrated device can provide directly a list of codes of the recognized characters. Preliminary simulation tests indicate good performance and robustness to various distortions of the visual field.
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Radu Dogaru, Radu Dogaru, Ioana Dogaru, Ioana Dogaru, Manfred Glesner, Manfred Glesner, } "A smart sensor architecture based on emergent computation in an array of outer-totalistic cells", Proc. SPIE 5839, Bioengineered and Bioinspired Systems II, (29 June 2005); doi: 10.1117/12.608264; https://doi.org/10.1117/12.608264
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