A Lexicon Driven Approach to Handwritten Word Recognition for Real-Time Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information Retrieval
Vector Model Based Indexing and Retrieval of Handwritten Medical Forms
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
Extraction of handwritten text from carbon copy medical form images
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
A probabilistic method for keyword retrieval in handwritten document images
Pattern Recognition
Hi-index | 0.00 |
POSTER PAPER. Automatic indexing and searching in handwritten medical forms is a very important task. It is very challenging due to the poor image quality and the consequent low OCR performance. We describe a handwritten document retrieval system that improves the existing techniques in two respects. First, we present a Markov Random Fields based preprocessing algorithm that improves the image quality and OCR performance. Second, we improve the existing retrieval techniques by utilizing the OCR probabilities and language model into the term-weight scheme.