1. A computer-implemented method of identifying text content in images, the method comprising: receiving an input image; splitting the image into a plurality of character blocks, each character block in the plurality of character blocks containing pixel information that may represent one or more characters; calculating a probability that a character block in the plurality of character blocks includes a character; forming a candidate sequence of character blocks from the plurality of character blocks, the candidate sequence of character blocks representing a candidate match for a search term; and comparing the candidate sequence of character blocks to the search term to determine if the search term is present in the candidate sequence of character blocks.
1. A computer-implemented method of identifying text content in images, the method comprising: receiving an input image; splitting the image into a plurality of character blocks, each character block in the plurality of character blocks containing pixel information that may represent one or more characters; calculating a probability that a character block in the plurality of character blocks includes a character; forming a candidate sequence of character blocks from the plurality of character blocks, the candidate sequence of character blocks representing a candidate match for a search term; and comparing the candidate sequence of character blocks to the search term to determine if the search term is present in the candidate sequence of character blocks. 2. The method of claim 1 wherein comparing the candidate sequence of character blocks comprises calculating a similarity of a line of text in the candidate sequence of character blocks to the search term.