Invariant Features for Character Recognition
نویسنده
چکیده
Handwritten recognition have been a main research subject in pattern recognition for over thirty years. The application of handwritten character recognition is broad. Typical uses include recognition of handwritten zip codes and reading personal bank checks. The recognition of handwritten characters, like other problems in pattern recognition, consists of two major problems: feature selection and pattern classification. Feature selection is problem-dependent and considered most significant to the final result of a recognition system. Since handwritten characters of the same character class can occur in great variety, it is desirable to generate a representation that is invariant. A feature-based recognition of objects which is independent of their position, size, orientation and other variations has been the goal of much recent research. There have been several kinds of features used for recognition:
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