Layout-aware, scalable recognition system

A method for visual recognition, comprising:

• receiving an output of an optical character recognition process comprising a recognized block, the recognized block comprising a set of positional properties and recognized text;
• creating a block weight from the set of positional properties for the recognized block;
• creating a set of block tri-character grams for the recognized block based on the recognized text for the recognized block;
• creating a block tri-character gram feature vector based on the set of block tri-character grams;
• creating a block feature vector for the recognized block from the block weight and the block tri-character gram feature vector for the recognized block;
• creating a feature vector based on the block feature vector;
• retrieving a set of results from an index, wherein the index includes entries for documents, and further wherein the set of results is retrieved based on the feature vector;
• and
• submitting the feature vector to a trained machine classifier, wherein the trained machine classifier is trained based on the documents represented by the entries in the index.

A system comprising a processor and computer executable instructions, that when executed by the processor, cause the system to perform operations comprising:

• receive an output of an optical character recognition process comprising a recognized block, the recognized block comprising a set of positional properties and recognized text;
• create a block weight from the set of positional properties for the recognized block;
• create a set of block tri-character grams for the recognized block based on the recognized text for the recognized block;
• create a block tri-character gram feature vector based on the set of block tri-character grams;
• create a block feature vector for the recognized block from the block weight and the block tri-character gram feature vector for the recognized block;
• create a feature vector based on the block feature vector;
• retrieve a set of results from an index, wherein the index includes entries for documents, and further wherein the set of results is retrieved based on the feature vector;
• and
• submit the feature vector to a trained machine classifier,
• wherein retrieving the set of results from the index based on the feature vector occurs responsive to the trained machine classifier classifying the feature vector into a designated category.