Unconstrained handwriting recognition
First Claim
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1. A system for recognizing digital image data arranged in rows and columns, comprising:
- a feature extractor for extracting feature information from data representing the rows and columns of the digital image data, wherein the extracted feature information of a row comprises a plurality of row bits and the extracted feature information of a column comprises a plurality of column bits;
a feature compressor for compressing the extracted feature information, whereby a portion of the row bits from the extracted feature information of the rows is removed and a portion of the column bits from the extracted feature information of the columns is removed; and
a neural network for classifying the digital image data from the compressed, extracted feature information, wherein the feature extractor includes a shift register to extract feature information of a diagonal of the digital image data.
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Abstract
Methods and systems of the present invention may be used to recognize digital image data arranged in rows and columns. Exemplary embodiments may include a feature extractor for extracting feature information from data representing the rows and columns of the digital image data, a feature compressor for compressing the extracted feature information, and a neural network for classifying the digital image data from the compressed, extracted feature information.
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11 Claims
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1. A system for recognizing digital image data arranged in rows and columns, comprising:
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a feature extractor for extracting feature information from data representing the rows and columns of the digital image data, wherein the extracted feature information of a row comprises a plurality of row bits and the extracted feature information of a column comprises a plurality of column bits; a feature compressor for compressing the extracted feature information, whereby a portion of the row bits from the extracted feature information of the rows is removed and a portion of the column bits from the extracted feature information of the columns is removed; and a neural network for classifying the digital image data from the compressed, extracted feature information, wherein the feature extractor includes a shift register to extract feature information of a diagonal of the digital image data. - View Dependent Claims (3, 4, 5, 6, 7, 8, 10, 11)
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2. A system for recognizing digital image data arranged in rows and columns, comprising:
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a feature extractor for extracting feature information from data representing the rows and columns of the digital image data, wherein the extracted feature information of a row comprises a plurality of row bits and the extracted feature information of a column comprises a plurality of column bits; a feature compressor for compressing the extracted feature information, whereby a portion of the row bits from the extracted feature information of the rows is removed and a portion of the column bits from the extracted feature information of the columns is removed; and a neural network for classifying the digital image data from the compressed, extracted feature information. wherein the feature compressor logically ORs remaining row bits between neighboring rows and logically ORs remaining column bits between neighboring columns. - View Dependent Claims (9)
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Specification