Handwritten isolated word recognition: An approach based on mutual information for feature set validation

/in , , /by
Handwritten isolated word recognition: An approach based on mutual information for feature set validation

Freitas, Cinthia O.A. and Bortolozzi, Flávio and Sabourin, Robert

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR 2001

Abstract : This paper presents the application of Mutual Information criterion to validate feature sets extracted from handwritten words in Brazilian legal amounts. The lexicon includes a subset of short words without ascenders/descenders and subsets of words with the same prefix or suffix. These particularities of the Brazilian lexicon show that is necessary to improve the perpetual feature set with complementary geometric features, and also modeling the prefix and suffix of the words. Finally, the experiments show the viability of our approach.

You might also like
A dynamic optimization approach for adaptive incremental learning
A practical algorithm for the retrieval of floe size distribution of Arctic sea ice from high-resolution satellite Synthetic Aperture Radar imagery
Using additional neighborhood information in a dynamic ensemble selection method : improving the KNORA approach
Texture CNN for histopathological image classification
Volumetric bias in segmentation and reconstruction: secrets and solutions
Using a deformation field model for localizing faces and facial points under weak supervision
Automatically learning cortical folding patterns
Système hybride de reconnaissance de mots manuscrits sur un grand vocabulaire utilisant des réseaux neuronaux et des modèles de Markov cachés