Machine Learning and Script Recognition: Machine Vision - Couverture souple

Saba, Tanzila; Rehman, Amjad

 
9783659111709: Machine Learning and Script Recognition: Machine Vision
Couverture souple
ISBN 10 : 3659111708 ISBN 13 : 9783659111709
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Machine simulation to recognize handwriting has opened new horizons to improve human-computer interface and perform repetitive task of reading by machines. Despite nearly four decades of research, offline unconstrained cursive script segmentation and recognition remains an open problem. Currently, accuracy of offline cursive script recognition schemes is low particularly for touched script in data entry forms and computationally expensive for real world applications. This book presents latest machine learning techniques for script recognition from pre-processing to post-processing. Character segmentation is a focus of this book as poor segmentation significantly effects accuracy. Several interesting experiments are carried out and results are compared with existing pre-processing and post-processing techniques reported in the state of art using benchmark database such as NIST, IAM and CEDAR. Finally, latest techniques are integrated into a model script recognition system. Remaining problems are also highlighted along with suggestions and recommendations.

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Présentation de l'éditeur

Machine simulation to recognize handwriting has opened new horizons to improve human-computer interface and perform repetitive task of reading by machines. Despite nearly four decades of research, offline unconstrained cursive script segmentation and recognition remains an open problem. Currently, accuracy of offline cursive script recognition schemes is low particularly for touched script in data entry forms and computationally expensive for real world applications. This book presents latest machine learning techniques for script recognition from pre-processing to post-processing. Character segmentation is a focus of this book as poor segmentation significantly effects accuracy. Several interesting experiments are carried out and results are compared with existing pre-processing and post-processing techniques reported in the state of art using benchmark database such as NIST, IAM and CEDAR. Finally, latest techniques are integrated into a model script recognition system. Remaining problems are also highlighted along with suggestions and recommendations.

Biographie de l'auteur

Dr. Tanzila Saba earned PhD in document information security from faculty of Computing Universiti Teknologi Malaysia. Her specialization is information management and business intelligence. Currently, she is serving as Assistant prof.in CIS P.S.University KSA. Her more than ten papers are ISI indexed & she is included in Marquis who is who 2012.

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
2012
Langue
anglais
ISBN 10 
3659111708
ISBN 13 
9783659111709
Reliure
Broché
Nombre de pages
168
Coordonnées du fabricant
non disponible
Personne responsable
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