NEURAL NETWORK : PATTERN RECOGNITION USING NEURAL NETWORK

Probal Banerjee

ISBN 10: 620267993X / ISBN 13: 9786202679930

Verlag: LAP LAMBERT Academic Publishing, 2020

Beschreibung

nach der Bestellung gedruckt Neuware - Printed after ordering - This Book tends to the issue of text spotting. At an elevated level, text spotting alludes to having the option to consequently identify and perceive text in pictures, a calculation that can peruse. We don't force a limitation on the kind of text, or the sort of scene that ought to have the option to be perused if a human can understand it, a book spotting framework ought to likewise plan to have the option to understand it. This warrants the advancement of general content spotting calculations, which are not streamlined for a particular area, to have the option to deal with both a picture of a paper first page just as a bustling high road scene, with text as customary printed textual styles, through to manually written calligraphy. The objective of this book is to propel the best in class of such content spotting calculations.

Bestandsnummer des Verkäufers 9786202679930

Bibliografische Details

• Titel: NEURAL NETWORK : PATTERN RECOGNITION USING NEURAL NETWORK
• Verlag: LAP LAMBERT Academic Publishing
• Veröffentlichungsdatum: 2020
• Sprache: Englisch
• ISBN-10: 620267993X
• ISBN-13: 9786202679930
• Bindung: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

This Book tends to the issue of text spotting. At an elevated level, text spotting alludes to having the option to consequently identify and perceive text in pictures, a calculation that can peruse. We don't force a limitation on the kind of text, or the sort of scene that ought to have the option to be perused if a human can understand it, a book spotting framework ought to likewise plan to have the option to understand it. This warrants the advancement of general content spotting calculations, which are not streamlined for a particular area, to have the option to deal with both a picture of a paper first page just as a bustling high road scene, with text as customary printed textual styles, through to manually written calligraphy. The objective of this book is to propel the best in class of such content spotting calculations.