InforLorV4, Main, Merge, bibRecord, 008F48

Training and evaluation of the models for isolated character recognition

Identifieur interne : 008F48 ( Main/Merge ); précédent : 008F47; suivant : 008F49

Training and evaluation of the models for isolated character recognition

Auteurs : Szilárd Vajda [France]

Source :

RBID : Hal:inria-00107623

English descriptors

mix :
- multi-layer perceptron, n-class classifiers, perceptron multi couche, support vector machine.

Abstract

In this report we describe a special multi-layer perceptron wich was trained on the image database in order to obtain the classification of the test database. We used the same database to train for each class an SVM and after that we used a normalization process in order to be able to compare the different results given by the SVMs on the test database, as they are not n-class classifiers. As the results obtained were not enough satisfactory for our industrial partner, we proposed a combination scheme, in order to interact the different decisions given by the different classifiers and to obtain a high recognition score.

Url:

https://hal.inria.fr/inria-00107623

Links toward previous steps (curation, corpus...)

to stream Hal, to step Corpus: 004F39
to stream Hal, to step Curation: 004F39
to stream Hal, to step Checkpoint: 005872

Links to Exploration step

Hal:inria-00107623

Le document en format XML

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{{Explor lien
   |wiki=    Wicri/Lorraine
   |area=    InforLorV4
   |flux=    Main
   |étape=   Merge
   |type=    RBID
   |clé=     Hal:inria-00107623
   |texte=   Training and evaluation of the models for isolated character recognition
}}

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Training and evaluation of the models for isolated character recognition

Training and evaluation of the models for isolated character recognition

Source :

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri