Symbol recognition using decision forests

摘要

The current document is directed to methods and systems for identifying symbols corresponding to symbol images in a scanned-document image or other text-containing image, with the symbols corresponding to Chinese or Japanese characters, to Korean morpho-syllabic blocks, or to symbols of other languages that use a large number of symbols for writing and printing. In one implementation, the methods and systems to which the current document is directed carry out an initial processing step on one or more scanned images to identify a set of graphemes that most likely correspond to each symbol image that occurs in the scanned document image. The graphemes are selected for a symbol image based on accumulated votes generated from symbol patterns identified as likely related to the symbol image using one or more decision forests.

主权项

1. An optical symbol recognition system comprising:
a memory; and one or more processors coupled to the memory, the processors are configured to: identify a symbol image in an image of a document; identify using a decision forest, a set of candidate pattern data structures for the symbol image; use the candidate pattern data structures to identify a set of candidate graphemes; use the identified set of candidate graphemes to select a symbol code that represents the symbol image; and producing an electronic document comprising the symbol code that represents the symbol image.