Sciweavers

Share
ICDAR
2009
IEEE

Using top n Recognition Candidates to Categorize On-line Handwritten Documents

8 years 11 months ago
Using top n Recognition Candidates to Categorize On-line Handwritten Documents
The traditional weighting schemes used in text categorization for the vector space model (VSM) cannot exploit information intrinsic to texts obtained through on-line handwriting recognition or any OCR process. Especially, top n (n > 1) candidates could not be used without flooding the resulting text with false occurrences of spurious terms. In this paper, an improved weighting scheme for text categorization, that estimates the occurrences of terms from the posterior probabilities of the top n candidates, is proposed. The experimental results show that the categorization performances increase for texts with high error rates.
Sebastián Peña Saldarriaga, Emmanuel
Added 18 Feb 2011
Updated 18 Feb 2011
Type Journal
Year 2009
Where ICDAR
Authors Sebastián Peña Saldarriaga, Emmanuel Morin, Christian Viard-Gaudin
Comments (0)
books