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With the emergence of the digital world, it is imperative that we must represent our day-to-day tasks on the internet in a meaningful way. The primary purpose of this book is to represent the handwritten text in terms of a digital document that can be processed by the computer. Handwritten Text Analyzing is an emerging branch of Optical Character Recognition (OCR). The continuous analog form of written text can be expressed in a digitized manner. This book discussesConvolutional Neural Network (CNN) that involves feature extraction and classification. This book computes validation accuracy and…mehr

Produktbeschreibung
With the emergence of the digital world, it is imperative that we must represent our day-to-day tasks on the internet in a meaningful way. The primary purpose of this book is to represent the handwritten text in terms of a digital document that can be processed by the computer. Handwritten Text Analyzing is an emerging branch of Optical Character Recognition (OCR). The continuous analog form of written text can be expressed in a digitized manner. This book discussesConvolutional Neural Network (CNN) that involves feature extraction and classification. This book computes validation accuracy and losses to test the reliability of our model. This book aims to provide an efficient way of recognizing the letter or digit from the input image.
Autorenporträt
Ramya Sri Kovvuri ist Assistenzprofessorin am G Narayanamma Institute of Technology and Science - Hyderabad. Sie hat im Bachelor-Studiengang Informatik-Ingenieurwesen eine First Class mit Auszeichnung erworben. Außerdem hat sie im Masterstudiengang Computernetzwerke und Informationssicherheit eine weitere First Class mit Auszeichnung erworben.