Support Vector Machine, Projection Histogram for Math Expression: Based on Handwritten Mathematical Expression - Couverture souple

Baviskar, Pallavi

 
9783659387135: Support Vector Machine, Projection Histogram for Math Expression: Based on Handwritten Mathematical Expression
Couverture souple
ISBN 10 : 3659387134 ISBN 13 : 9783659387135
Editeur : LAP LAMBERT Academic Publishing, 2013

Synopsis

This book provides information about mathematical expression recognition with one of the best technique for recognition and classification. Mathematical symbols and operators are represented in same way in different languages, which is useful to most of the researchers who work on character recognition in various languages. Projection histogram is used for extracting features from each sample. Using horizontal and vertical projection minimum ten features are extracted.Recognition of handwritten mathematical symbols and expression is difficult task due to different way of writing styles so support vector machine can beneficial classifier. most of researchers have been use this feature extraction technique and classifier. Using this method 98.40% recognition rate is achieved.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This book provides information about mathematical expression recognition with one of the best technique for recognition and classification. Mathematical symbols and operators are represented in same way in different languages, which is useful to most of the researchers who work on character recognition in various languages. Projection histogram is used for extracting features from each sample. Using horizontal and vertical projection minimum ten features are extracted.Recognition of handwritten mathematical symbols and expression is difficult task due to different way of writing styles so support vector machine can beneficial classifier. most of researchers have been use this feature extraction technique and classifier. Using this method 98.40% recognition rate is achieved.

Biographie de l'auteur

Pallavi V. Baviskar, Lecturer in Computer Engineering Department at PES Modern college of Engineering, Pune (MS, India). 4 years of professional experience. Area of interest are Support Vector Machine, Character Recognition, Projection Histogram.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2013
Langue
anglais
ISBN 10 
3659387134
ISBN 13 
9783659387135
Reliure
Broché
Nombre de pages
92
Coordonnées du fabricant
non disponible
Personne responsable
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