Patent Document ID: 8731300
Application ID: 13678961

Base Claim:
1. A method comprising: receiving a query string; generating a plurality of computer-generated images based on the query string with a computer typographic font, each of the plurality of computer-generated images being generated by varying the computer typographic font, the font variations having been identified based on a precision for retrieving word images which match at least one selected query string; training a model based on the plurality of computer-generated images; scoring candidate handwritten word images of a collection of handwritten word images using the trained model; and based on the scores, identifying a subset of the word images.

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Claim 12:
12. The method of claim 1 , wherein: the generating of the plurality of computer-generated images based on the query string includes, for each of a set of fonts, automatically generating images based on the query string; the training of the model based on the plurality of computer-generated images includes modeling the query string with a semi-continuous hidden Markov model, a subset of the parameters of the semi-continuous hidden Markov model being estimated based on features extracted from the images in the different fonts, and other parameters of the semi-continuous hidden Markov model being previously trained on sample handwritten word images without consideration of the query string; the scoring of the candidate handwritten word images includes scoring candidate handwritten word images of the collection against the trained semi-continuous hidden Markov model; and the identifying of the subset of the word images based on the scores includes labeling one or more of the candidate handwritten word images, or a document containing one or more of the candidate handwritten word images.