OCR

2023年6月23日 — Convolutional Neural Networks (CNNs). CNNs are widely used in OCR to extract meaningful visual features from document images. These networks ...

2022年8月5日 — Learn how to apply OCR in the wild to recognise and extract unstructured text information from images using Tesseract and the OpenCV EAST ...

由 A Mishra 著作 · 2023 — The goal of this papers is to show the results of a Convolutional Neural Network model which has been trained on National Institute of Science ...

2023年4月30日 — Modern OCR uses machine learning techniques to train computers to read the text inside images. Specifically, deep Neural Networks (NN) are ...

2023年5月25日 — Optical character recognition using deep learning is a popular approach that involves training a neural network to recognize and extract text ...

2020年8月17日 — In this tutorial, you will learn how to train an Optical Character Recognition (OCR) model using Keras, TensorFlow, and Deep Learning.

2020年3月24日 — CRNN（Convolutional Recurrent Neural Network，卷積循環神經網絡）為本次實作模型的Backbone，概念來自此篇論文：An End-to-End Trainable Neural ...

STN-OCR: A single Neural Network for Text Detection and Text Recognition ... In contrast to most existing works that consist of multiple deep neural networks and ...

由 M Sabourin 著作 · 1992 · 被引用 72 次 — An optical character recognition (OCR) system, which uses a multilayer perceptron (MLP) neural network classifier, is described. The neural network ...

由 張浩陞 著作 · 2022 — 基於神經網路中光學像差在OCR系統的影響. Influence of Optical Aberrations on Optical Character Recognition System based on Neural Network. 張浩陞(Hao-Sheng Zhang).