Sciweavers

4 search results - page 1 / 1
» Handwritten Symbol Recognition by a Boosted Blurred Shape Mo...
Sort
View
IBPRIA
2007
Springer
13 years 10 months ago
Handwritten Symbol Recognition by a Boosted Blurred Shape Model with Error Correction
One of the major difficulties of handwriting recognition is the variability among symbols because of the different writer styles. In this paper we introduce the boosting of blurre...
Alicia Fornés, Sergio Escalera, Josep Llad&...
CIARP
2007
Springer
13 years 10 months ago
Multi-class Binary Object Categorization Using Blurred Shape Models
The main difficulty in the binary object classification field lays in dealing with a high variability of symbol appearance. Rotation, partial occlusions, elastic deformations, or...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
ICIAP
2009
ACM
14 years 5 months ago
Multi-class Binary Symbol Classification with Circular Blurred Shape Models
Multi-class binary symbol classification requires the use of rich descriptors and robust classifiers. Shape representation is a difficult task because of several symbol distortions...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
ICDAR
2003
IEEE
13 years 10 months ago
On Machine Understanding of Online Handwritten Mathematical Expressions
This paper aims at automatic recognition of online handwritten mathematical expressions written on an electronic tablet. The proposed technique involves two major stages: symbol r...
Utpal Garain, B. B. Chaudhuri