Design of Optical Character Recognition Using Neural Network - Image 1

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LAP Lambert Academic Publishing Design of Optical Character Recognition Using Neural Network

Name: Design of Optical Character Recognition Using Neural Network
Brand: LAP Lambert Academic Publishing
Price: 52.0 GBP
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Electronics Engineering

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Description

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 Once trained, these models can be deployed in diverse applications, from digitizing historical documents to enhancing accessibility for visually impaired individuals, marking a significant advancement in information processing and accessibility.

Product Specifications

Brand: LAP Lambert Academic Publishing
Format: paperback
ASIN: 6207473973
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Electronics & Communications Engineering > Electronics Engineering
Domain: Amazon UK
Release Date: 20 March 2024
Listed Since: 14 April 2024

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LAP Lambert Academic Publishing Design of Optical Character Recognition Using Neural Network

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