Space-variant optical character recognition

An active vision system with a multiresolution sensor has the advantages of a wide visual field, high central resolution and low data rate. The authors use a special space-variant sensor based on complex log mapping to do character recognition in real scenes. The authors describe experiments with feature designs based on several statistical OCR methods: characteristic loci, partition and projection. The authors also examine several rotation-invariant feature designs based on the partition and projection methods. After studying the problem of recognizing strings in real scenes. The authors derive a rule based approach to solve the attention problem in the context of pattern recognition. Finally the authors describe an active vision system which successfully recognizes characters on a license plate in a real scene