Automatic language identification by stroke geometry analysis

摘要

A computer-implemented process identifies an unknown language used to create a document. A set of training documents is defined in a variety of known languages and formed from a variety of text styles. Black and white electronic pixel images are formed of text material forming the training documents and the document in the unknown language. A plurality of line strokes are defined from the black pixels and point features are extracted from the strokes that are effective to characterize each of the languages. Point features from the unknown language are compared with point features from the known languages to identify one of the known languages that best represents the unknown language.