1. A method for identifying stricken-out characters of handwritten characters, the method comprising: parsing a scanned image of a document into objects; selecting from them objects that presumably include handwritten characters; applying by a processor of an electronic device one or more classifiers for primary character recognition to the selected objects; selecting a most likely variant among a plurality of variants in a case of multiple recognition when applying the one or more classifiers for primary character recognition to the selected objects; applying at least one supplemental feature classifier for stricken-out characters to at least one of the objects; and identifying a character as stricken-out where the features are better fitting when comparing stricken-out characters with at least one non-stricken-out character that is similar to the stricken-out characters.