Methods and systems for performing handwriting recognition from raw graphical image data

摘要

Methods and systems for performing handwriting recognition which include, in part, application of stochastic modeling techniques in conjunction with language modeling. Handwriting recognition is performed on a received data set, which is representative of a handwriting sample comprised of one or more symbols. Recognition is performed by selectively segmenting the data set into one or more strokes utilizing an evolution grammar for identifying each one of the strokes among one or more alternatives. Each one of the strokes represents a segment of the handwriting sample. The identified strokes are evaluated as a stroke sequence, representative of one or more of the handwriting sample's symbols, to identify the handwriting sample.