Genetic programming techniques for hand written digit recognition

Authors:
A. D. Parkins;A. K. Nandi
Affiliations:
Signal Processing and Communications Group, Department of Electrical Engineering & Electronics, University of Liverpool, Brownlow Hill, Liverpool, L69 3GJ, UK;Signal Processing and Communications Group, Department of Electrical Engineering & Electronics, University of Liverpool, Brownlow Hill, Liverpool, L69 3GJ, UK
Venue:
Signal Processing
Year:
2004

Citing 7
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Abstract

Genetic programming is the implementation of the paradigm of the survival of the fittest from the natural world in the world of computation. Genetic programming is used to automatically create solutions to problems where the governing mechanisms are unknown. In this paper we apply genetic programming to the recognition of hand written digits from the USPS data set. To our knowledge there have been no results presented on this data set using genetic programming. We have introduced some variations on the selection and evolution methods normally used in genetic programming systems, in particular: aged members, directed crossover, inter-output crossover and node mutation.