Offline recognition of unconstrained handwritten texts using HMMs and statistical language models
- 19 April 2004
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Ieee Transactions On Pattern Analysis and Machine Intelligence
- Vol. 26 (6), 709-720
- https://doi.org/10.1109/tpami.2004.14
Abstract
This paper presents a system for the offline recognition of large vocabulary unconstrained handwritten texts. The only assumption made about the data is that it is written in English. This allows the application of statistical language models in order to improve the performance of our system. Several experiments have been performed using both single and multiple writer data. Lexica of variable size (from 10,000 to 50,000 words) have been used. The use of language models is shown to improve the accuracy of the system (when the lexicon contains 50,000 words, the error rate is reduced by /spl sim/50 percent for single writer data and by /spl sim/25 percent for multiple writer data). Our approach is described in detail and compared with other methods presented in the literature to deal with the same problem. An experimental setup to correctly deal with unconstrained text recognition is proposed.Keywords
This publication has 27 references indexed in Scilit:
- Conjoined location and recognition of street names within a postal address delivery linePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A statistical approach for phrase location and recognition within a text line: an application to street name recognitionIeee Transactions On Pattern Analysis and Machine Intelligence, 2002
- Machine learning in automated text categorizationACM Computing Surveys, 2002
- Use of adaptive segmentation in handwritten phrase recognitionPattern Recognition, 2002
- An architecture for handwritten text recognition systemsInternational Journal on Document Analysis and Recognition (IJDAR), 1999
- Recognition of legal amounts on bank chequesPattern Analysis and Applications, 1998
- Handwritten phrase recognition as applied to street name imagesPattern Recognition, 1998
- Use of lexical and syntactic techniques in recognizing handwritten textPublished by Association for Computational Linguistics (ACL) ,1994
- Control structure for interpreting handwritten addressesIeee Transactions On Pattern Analysis and Machine Intelligence, 1994
- Error bounds for convolutional codes and an asymptotically optimum decoding algorithmIEEE Transactions on Information Theory, 1967