Design of Optical Character Recognition Using Neural Network - Couverture souple

Dua, Dr. Rakhi

Couverture souple

ISBN 10 : 6207473973 ISBN 13 : 9786207473977

Editeur : LAP LAMBERT Academic Publishing, 2024

Synopsis

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 Once trained, these models can be deployed in diverse applications, from digitizing historical documents to enhancing accessibility for visually impaired individuals, marking a significant advancement in information processing and accessibility.

Détails de l'édition

• Éditeur: LAP LAMBERT Academic Publishing
• Date d'édition: 2024
• Langue: anglais
• ISBN 10: 6207473973
• ISBN 13: 9786207473977
• Reliure: Broché
• Nombre de pages: 92
• Coordonnées du fabricant: non disponible
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