Learning and Recognition of Hand-Drawn Shapes Using Generative Genetic Programming

Authors:
Wojciech Jaśkowski;Krzysztof Krawiec;Bartosz Wieloch
Affiliations:
Institute of Computing Science, Poznań University of Technology, Piotrowo 2, 60965 Poznań, Poland;Institute of Computing Science, Poznań University of Technology, Piotrowo 2, 60965 Poznań, Poland;Institute of Computing Science, Poznań University of Technology, Piotrowo 2, 60965 Poznań, Poland
Venue:
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
Year:
2009

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Abstract

We describe a novel method of evolutionary visual learning that uses generative approach for assessing learner's ability to recognize image contents. Each learner, implemented as a genetic programming individual, processes visual primitives that represent local salient features derived from a raw input raster image. In response to that input, the learner produces partial reproduction of the input image, and is evaluated according to the quality of that reproduction. We present the method in detail and verify it experimentally on the real-world task of recognition of hand-drawn shapes.