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Application of CRNN Based OCR in Health Records System

Proceedings of the 3rd International Conference on Multimedia Systems and Signal Processing, 2018
In regard of problems of medical care big data such as dispersed data, weak consistency, low electronic degree and low visualization degree, a set of innovative image recognition, data collection, arrangement and storage projects were put forward. Data collection method, which adopts OCR recognition algorithm on the basis of CRNN, together with human ...
Luyang Zhao, Kebin Jia
openaire   +1 more source

Research on Scene Text Recognition Algorithm Basedon Improved CRNN

Proceedings of the 2020 4th International Conference on Digital Signal Processing, 2020
Image-based sequence recognition has always been a longstanding research topic in computer vision. Scene text recognition is one of the most important and challenging tasks in image-based sequence recognition. End-to-end scene text recognition based on deep learning now mainly transforms text recognition into sequence recognition problems.
Yilin Chen, Juan Yang 0002
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Cultural Symbol Recognition Algorithm Based on CTPN + CRNN

2021
This paper proposes a cultural symbol recognition algorithm based on CTPN + CRNN. The algorithm uses the improved VGG16 + BLSTM network to extract the depth features and sequence features of the text image, and uses the Anchor to locate the text position. Finally, the task of cultural symbol recognition is carried out through the CNN + BLSTM + CTC deep
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Speech Emotion Recognition Model Based on CRNN-CTC

2020
CRNN (Convolutional Recurrent Neural Network) deep learning model is currently a typical speech emotion recognition technology. When this model is applied, no matter how long the speech sequence is, it will only be converted into an emotional tag. However, the emotional information in speech samples is generally unevenly distributed between frames ...
Zijiang Zhu   +4 more
openaire   +1 more source

An RNN and CRNN Based Approach to Robust Voice Activity Detection

2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2019
In this paper, we propose a voice activity detection (VAD) system, which combines a convolutional recurrent neural network (CRNN) and a recurrent neural network (RNN). In order to improve the performance of our system in low signal-noise ratio conditions, we also add a speech-enhancement module, a one-dimensional dilation-erosion module, and a model ...
Guan-Bo Wang, Wei-Qiang Zhang 0001
openaire   +1 more source

CRNN-Refined Spatiotemporal Transformer for Dynamic MRI reconstruction

Computers in Biology and Medicine
Magnetic Resonance Imaging (MRI) plays a pivotal role in modern clinical practice, providing detailed anatomical visualization with exceptional spatial resolution and soft tissue contrast. Dynamic MRI, aiming to capture both spatial and temporal characteristics, faces challenges related to prolonged acquisition times and susceptibility to motion ...
Bin Wang 0080   +4 more
openaire   +2 more sources

Handwritten Text Recognition Using CRNN

2022 8th International Conference on Contemporary Information Technology and Mathematics (ICCITM), 2022
Ahmed A. Idris, Dujan B. Taha
openaire   +1 more source

Tigrinya OCR: Applying CRNN for Text Recognition

2023
Aaron Afewerki Hailu   +5 more
openaire   +1 more source

Residual CRNN and Its Application to Handwritten Digit String Recognition

2019
Recently the Convolutional Recurrent Neural Network (CRNN) architecture has shown success in many string recognition tasks and residual connections are applied to most network architectures. In this paper, we embrace these observations and present a new string recognition model named Residual Convolutional Recurrent Neural Network (Residual CRNN, or ...
Hongjian Zhan   +3 more
openaire   +1 more source

CRNN-based UAV Detection using Acoustic Signature

2023 IEEE International Symposium on Smart Electronic Systems (iSES), 2023
Abhishek Kashyap   +2 more
openaire   +1 more source

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