Automatic adaption of an image recognition system to image capture devices

A system for recognizing images, the system comprising:

• a processor;
• a dispatcher stored on a memory and executable by the processor, the dispatcher for receiving an image query, for determining a recognizability score based at least in part on the image query and for determining a first recognition algorithm based at least in part on the recognizability score;
• a first recognition unit stored on the memory and executable by the processor, the first recognition unit coupled to the dispatcher, the first recognition unit for extracting image features from the image query, for performing a first recognition by comparing the extracted image features to a first set of image data using the first recognition algorithm to identify a first set of recognition results that are substantially pristine images, each recognition result including at least a portion of a matching document and a location of the image query in the portion of the matching document;
• a second recognition unit stored on the memory and executable by the processor, the second recognition unit coupled to the dispatcher and the first recognition unit, the second recognition unit for performing a second recognition by comparing the extracted image features to a second set of image data to identify a second set of recognition results, the second set of image data being the first set of image data that are modified by a first level of blur;
• a third recognition unit stored on the memory and executable by the processor, the third recognition unit coupled to the dispatcher and the second recognition unit, the third recognition unit for performing a third recognition by comparing the extracted image features to a third set of image data to identify a third set of recognition results, the third set of image data being the first set of image data modified by a noise factor;
• and
• a result combiner coupled to the first recognition unit, the second recognition unit and the third recognition unit, the result combiner for combining the first set of recognition results from performing the first recognition, the second set of recognition results from performing the second recognition and the third set of recognition results from performing the third recognition by merging and sorting the first set of recognition results, the second set of recognition results and the third set of recognition results based on a confidence value of each recognition result.

A computer program product comprising a non-transitory computer useable medium including a computer readable program, wherein the computer readable program when executed on a computer causes the computer to:

• receive an image query;
• determine a recognizability score based at least in part on the image query;
• determine a first recognition algorithm based at least in part on the recognizability score;
• extract image features from the image query;
• perform a first recognition by comparing the extracted image features to a first set of image data using the first recognition algorithm to identify a first set of recognition results that are substantially pristine images, each recognition result including at least a portion of a matching document and a location of the image query in the portion of the matching document;
• perform a second recognition by comparing the extracted image features to a second set of image data to identify a second set of recognition results, the second set of image data being the first set of image data that are modified by a first level of blur;
• perform a third recognition by comparing the extracted image features to a third set of image data to identify a third set of recognition results, the third set of image data being the first set of image data modified by a noise factor;
• and
• combine the first set of recognition results from performing the first recognition, the second set of recognition results from performing the second recognition and the third set of recognition results from performing the third recognition by merging and sorting the first set of recognition results, the second set of recognition results and the third set of recognition results based on a confidence value of each recognition result.