1. A method for identifying characters in an image, the method comprising: receiving, by a computing device, the image containing characters to be recognized; analyzing the received image to detect a region of interest of the received image; comparing, relative to the detected region of interest, a first portion of the received image to a set of patterns to determine a first coincidence value for each pattern in the set of patterns; generating a first series of hypotheses based at least on the determined first coincidence values; comparing a second portion of the received image to a set of selected patterns to determine a second coincidence value for each pattern in the set of selected patterns, wherein the set of selected patterns is selected based at least on the generated first series of hypotheses; generating a second series of hypotheses based at least on the determined second coincidence values; and recognizing the characters in the received image based at least on the first series of hypotheses and the second series of hypotheses.
1. A method for identifying characters in an image, the method comprising: receiving, by a computing device, the image containing characters to be recognized; analyzing the received image to detect a region of interest of the received image; comparing, relative to the detected region of interest, a first portion of the received image to a set of patterns to determine a first coincidence value for each pattern in the set of patterns; generating a first series of hypotheses based at least on the determined first coincidence values; comparing a second portion of the received image to a set of selected patterns to determine a second coincidence value for each pattern in the set of selected patterns, wherein the set of selected patterns is selected based at least on the generated first series of hypotheses; generating a second series of hypotheses based at least on the determined second coincidence values; and recognizing the characters in the received image based at least on the first series of hypotheses and the second series of hypotheses. 7. The method of claim 1 , wherein comparing the second portion of the received image further comprises calculating hypothesis values for each hypothesis of recognition in the generated second series of hypotheses based at least on the determined second coincidence values of a grapheme with a pattern.