Handwritten sentence recognition using Hybrid hidden Markov model. Questo articolo non è disponibile.Handwritten sentence recognition using Hybrid hidden Markov model

Concerning to Optical character recognition, Handwriting has sustained to persist as a means of communication and recording information in day to day life even with the introduction of new technologies. OCR is a process of automatic recognition of characters by computers in optically scanned and digitized pages of text. Some practical application potentials of OCR system are: (1) reading aid for the blind, (2) automatic text entry into the computer for desktop publication, library cataloging, ledgering, etc. (3) automatic reading for sorting of postal mail, bank cheques and other documents, (4) document data compression: from document image to ASCII format, (5) language processing, (6) multi-media system design, etc. The motivation of this work is to recognize handwritten Tamil sentences. Such a research will be useful to digitize ancient documents available both on paper, palm leaves and copper and stone inspirations.

Parthasarathy Subashini received a B.Sc (Mathematics) degree from the Bharathiar University, TamilNadu, India in 1990 and M.CA degree from the same University in 1993. She has also received qualified degree of M.Phil and Ph.D respectively in Computer Science in year 1998 and 2009 from Avinashilingam University for Women, Tamil Nadu, India.