Articoli correlati a Design of Optical Character Recognition Using Neural...

Design of Optical Character Recognition Using Neural Network - Brossura

Dua, Dr. Rakhi

 
9786207473977: Design of Optical Character Recognition Using Neural Network
Brossura
ISBN 10: 6207473973 ISBN 13: 9786207473977
Casa editrice: LAP LAMBERT Academic Publishing, 2024

Sinossi

Optical Character Recognition (OCR) utilizing neural networks is a transformative technology enabling the automatic extraction of text from images. By leveraging deep learning architectures such as Convolutional Neural Networks (CNNs) and recurrent networks like Long Short-Term Memory (LSTM) models, OCR systems can efficiently process complex visual data and accurately transcribe it into machine-readable text. This process involves training the neural network on labeled image-text pairs, enabling it to learn the intricate patterns and structures inherent in characters and words. Through iterative training and validation, the OCR model refines its ability to recognize text across various fonts, languages, and styles. Once trained, these models can be deployed in diverse applications, from digitizing historical documents to enhancing accessibility for visually impaired individuals, marking a significant advancement in information processing and accessibility.

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Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2024
Lingua
Inglese
ISBN 10 
6207473973
ISBN 13 
9786207473977
Rilegatura
Copertina flessibile
Numero di pagine
92
Contatto del produttore
non disponibile
Persona responsabile
KreGa Onlinehandel GmbH
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info@krega-onlinehandel.de

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