Projection for pattern recognition

This paper presents a method of pattern recognition whereby patterns can be enlarged, shrunk, rotated, sheared or mirrored. The program generates a series of projections at different angles, then uses these projections to match images in the pattern database. Our algorithm performs satisfactorily in a large pattern database and is also robust under noise.

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