Neural network system for continuous hand-written words recognition

作者: E.M. Kussul , L.M. Kasatkina

DOI: 10.1109/IJCNN.1999.833536

关键词:

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

参考文章(1)
E.M. Kussul, T.N. Baidyk, D.A. Rachkovskij, Application of neural network classifiers for the OCR of printed texts The Second International Symposium on Neuroinformatics and Neurocomputers. pp. 1- 6 ,(1995) , 10.1109/ISNINC.1995.480830