Results 51 to 60 of about 423 (132)

Speech Recognition for Air Traffic Control Utilizing a Multi-Head State-Space Model and Transfer Learning

Aerospace
In the present study, a novel end-to-end automatic speech recognition (ASR) framework, namely, ResNeXt-Mssm-CTC, has been developed for air traffic control (ATC) systems.
Haijun Liang, Hanwen Chang, Jianguo Kong
doaj   +1 more source

Multi‐Task Learning for Chinese Character and Radical Recognition With Dynamic Channel‐Spatial Attention and Rotational Positional Encoding

IET Image Processing, Volume 19, Issue 1, January/December 2025.
This study presents an advanced OCR model for complex Chinese character recognition, integrating EfficientNetV2 with a Transformer‐based architecture. Key innovations include a DCCSA module for enhanced feature emphasis and RoPE for precise spatial relationship modeling.
Wei Deng, XuHong Yu, HongWei Li, ShaoWen Du, Bing He   +4 more
wiley   +1 more source

Persian/Arabic Scene Text Recognition With Convolutional Recurrent Neural Network

IET Smart Cities, Volume 7, Issue 1, January/December 2025.
Advancements in technology have made natural scene text recognition (STR) crucial and challenging due to various factors such as font, colour, texture, illumination, and complex backgrounds. This research study explores optical character recognition (OCR) for Iranian signposts, traffic signs, and licence plates by combining preprocessing techniques ...
Alireza Akoushideh, Atefeh Ranjkesh Rashtehroudi, Asadollah Shahbahrami   +2 more
wiley   +1 more source

SCUT-EPT: New Dataset and Benchmark for Offline Chinese Text Recognition in Examination Paper

IEEE Access, 2019
Most existing studies and public datasets for handwritten Chinese text recognition are based on the regular documents with clean and blank background, lacking research reports for handwritten text recognition on challenging areas such as educational ...
Yuanzhi Zhu, Zecheng Xie, Lianwen Jin, Xiaoxue Chen, Yaoxiong Huang, Ming Zhang   +5 more
doaj   +1 more source

Introducing machine‐learning‐based data fusion methods for analyzing multimodal data: An application of measuring trustworthiness of microenterprises

Strategic Management Journal, Volume 45, Issue 8, Page 1597-1629, August 2024.
Abstract Research Summary Multimodal data, comprising interdependent unstructured text, image, and audio data that collectively characterize the same source, with video being a prominent example, offer a wealth of information for strategy researchers.
Xueming Luo, Nan Jia, Erya Ouyang, Zheng Fang   +3 more
wiley   +1 more source

Cantonese sentence dataset for lip‐reading

IET Image Processing, Volume 18, Issue 10, Page 2645-2664, 21 August 2024.
Lip‐reading deciphers speech without audio data, and deep learning advancements have improved lip‐reading in English and Chinese. Cantonese lip‐reading sentences, a Cantonese lip‐reading dataset, and a novel visual frontend, 3D‐visual attention net, which achieves comparable performance on Chinese Mandarin lip reading dataset, lip reading sentences 2 ...
Yewei Xiao, Xuanming Liu, Lianwei Teng, Aosu Zhu, Picheng Tian, Jian Huang   +5 more
wiley   +1 more source

A person re‐identification method for sports event scenes incorporating textual information mining

IET Image Processing, Volume 18, Issue 7, Page 1681-1693, 29 May 2024.
This paper designs a multi‐source information mutual gain mechanism to improve the accuracy of the person re‐identification task. The contribution is threefold: (1) A mutual gain mechanism between a person's visual features and high‐level semantic information is designed to enhance the performance of person re‐identification methods. (2) To the best of
Runmin Wang, Yanbin Zhu, Zukun Wan, Hua Chen, Zhenlin Zhu, Weixin Zhou, Chang Han, Yajun Ding   +7 more
wiley   +1 more source

Relay Protection Setting Sheet Detection and Recognition Approach Based on YOLOv8-CRNN-CTC

IEEE Access
To address the challenging recognition of relay protection setting characters in industrial scenarios due to their small size, dense arrangement, complex backgrounds, and susceptibility to lighting effects, a two-stage automatic recognition method ...
Xiaohao Lv, Shitao Gao, Guoli Miao, Zonglei Chen   +3 more
doaj   +1 more source

A CRNN‐based method for Chinese ship license plate recognition

IET Image Processing, Volume 18, Issue 2, Page 298-311, 7 February 2024.
A novel CRNN‐based method for Chinese ship license plate recognition under harsh marine environment is reported. This method can achieve significant recognition accuracy. Abstract Existing deep learning methods cannot achieve satisfactory ship license plate (SLP) recognition due to the harsh marine environment, such as foggy weather, unstable ship ...
Fan Xu, Chuibin Chen, Zhigao Shang, Yuqing Peng, Xinbao Li   +4 more
wiley   +1 more source

A controlled study of CTC, attention, and hybrid models for Arabic handwritten text-line recognition

Journal of King Saud University: Computer and Information Sciences
Progress in offline Arabic handwriting recognition is difficult to assess objectively because published systems often differ simultaneously in visual encoders, training procedures, and decoding strategies, making the source of reported performance gains ...
Omar Arjafellah, Abdellah Yousfi, Azhar Hadmi   +2 more
doaj   +1 more source