Multispectral Recognition Using Genetic and Evolutionary Feature Extraction

With the aim of developing an IHCR system for Balinese script on palm leaf manuscript images, we present, in this paper, our experimental study on feature extraction methods

This paper aims at addressing those limitations. Indeed, we propose a generic feature extraction algorithm that can automatically identify any number of relevant ROIs and can

This paper describes an online character recognition system for handwritten Japanese characters and reports our results using trajectory-based normalization and di- rection

The magnitude signature and RFS feature extraction algorithms are good for this task, and the NUCS score is a better metric than the SVM margin for the

This study, using a hybrid genetic decision tree induction algorithm RL-ICET on two East- West Challenge problems, together with the previous results in feature reduction [2, 3] con

9 shows that when the training is done with an SVM model, none of the feature extraction method is able to iden- tify the “Resperate” and “Wash Dishes” activities, due to