Neural network system for continuous hand-written words recognition

A method of continuous hand-written word recognition is proposed. The method is based on segmentation of the word onto triplets. Each triplet contains 3 letters. Two subsequent triplets have 2 common letters. Such overlapping gives powerful means for correction of recognised triplets and points of word segmentation. The proposed method could be used for creation the systems of automatic input of documents from handwritten archives into computers.