Detection of Ambiguous Patterns Using SVMs: Application to Handwritten Numeral Recognition
Identifieur interne : 000984 ( Main/Exploration ); précédent : 000983; suivant : 000985Detection of Ambiguous Patterns Using SVMs: Application to Handwritten Numeral Recognition
Auteurs : Leticia Seijas [Argentine] ; Enrique Segura [Argentine]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2009.
Abstract
Abstract: This work presents a pattern recognition system that is able to detect ambiguous patterns and explain its answers. The system consists of a set of parallel Support Vector Machine (SVM) classifiers, each one dedicated to a representative feature extracted from the input, followed by an analysing module based on a bayesian strategy in charge of defining the system answer. We apply the system to the recognition of handwritten numerals. Experiments were carried out on the MNIST database, which is generally accepted as one of the standards in most of the literature in the field.
Url:
DOI: 10.1007/978-3-642-03767-2_102
Affiliations:
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