cellular automata for character recognition

Cellular automata for character recognition refers to a computational approach that uses pattern-based models to recognize and interpret characters in text or handwriting by simulating a grid of simple computational units that follow predefined rules and evolve based on the neighboring units' states. This approach allows for efficient and parallel character recognition, making it useful in various applications such as optical character recognition and document processing.

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