Results 21 to 30 of about 1,688 (176)

An improved CRNN for Vietnamese Identity Card Information Recognition [PDF]

Computer Systems Science and Engineering, 2022
This paper proposes an enhancement of an automatic text recognition system for extracting information from the front side of the Vietnamese citizen identity (CID) card.First, we apply Mask-RCNN to segment and align the CID card from the background.Next, we present two approaches to detect the CID card's text lines using traditional image processing ...
Trinh Tan Dat, Le Tran Anh Dang, Nguyen Nhat Truong, Pham Cung Le Thien Vu, Vu Ngoc Thanh Sang, Pham Thi Vuong, Pham The Bao   +6 more
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Spatial transcriptomics analysis of esophageal squamous precancerous lesions and their progression to esophageal cancer

Nature Communications, 2023
Esophageal squamous precancerous lesions (ESPL) are the precursors of esophageal squamous cell carcinoma (ESCC) including low-grade and high-grade intraepithelial neoplasia.
Xuejiao Liu, Simin Zhao, Keke Wang, Liting Zhou, Ming Jiang, Yunfeng Gao, Ran Yang, Shiwen Yan, Wen Zhang, Bingbing Lu, Feifei Liu, Ran Zhao, Wenting Liu, Zihan Zhang, Kangdong Liu, Xiang Li, Zigang Dong   +16 more
doaj   +1 more source

Polyphonic Sound Event Detection Using Temporal-Frequency Attention and Feature Space Attention

Sensors, 2022
The complexity of polyphonic sounds imposes numerous challenges on their classification. Especially in real life, polyphonic sound events have discontinuity and unstable time-frequency variations.
Ye Jin, Mei Wang, Liyan Luo, Dinghao Zhao, Zhanqi Liu   +4 more
doaj   +1 more source

Automated scratching detection system for black mouse using deep learning

Frontiers in Physiology, 2022
The evaluation of scratching behavior is important in experimental animals because there is significant interest in elucidating mechanisms and developing medications for itching. The scratching behavior is classically quantified by human observation, but
Naoaki Sakamoto, Taiga Haraguchi, Koji Kobayashi, Yusuke Miyazaki, Takahisa Murata   +4 more
doaj   +1 more source

Speech emotion recognition based on improved masking EMD and convolutional recurrent neural network

Frontiers in Psychology, 2023
Speech emotion recognition (SER) is the key to human-computer emotion interaction. However, the nonlinear characteristics of speech emotion are variable, complex, and subtly changing.
Congshan Sun, Haifeng Li, Lin Ma
doaj   +1 more source

CRNNs for Urban Sound Tagging with spatiotemporal context

CoRR, 2020
This paper describes CRNNs we used to participate in Task 5 of the DCASE 2020 challenge. This task focuses on hierarchical multilabel urban sound tagging with spatiotemporal context. The code is available on our GitHub repository at https://github.com/multitel-ai/urban-sound-tagging.
Augustin Arnault, Nicolas Riche
openaire   +2 more sources

ENHANCING DEGRADED HANDWRITTEN DOCUMENT RECOGNITION USING RESNET BASED CRNN MODEL WITH OPTIMIZED IMAGE ENHANCEMENT [PDF]

ICTACT Journal on Image and Video Processing
Handwritten text recognition in degraded documents remains a major challenge in document image analysis due to factors such as noise, handwriting variability, uneven lighting, faded ink, and physical distortions in historical or low-quality scans ...
M. Antony Sheela, J. Jencewin, S.L. Rinu
doaj   +1 more source

Automated detection of mouse scratching behaviour using convolutional recurrent neural network

Scientific Reports, 2021
Scratching is one of the most important behaviours in experimental animals because it can reflect itching and/or psychological stress. Here, we aimed to establish a novel method to detect scratching using deep neural network.
Koji Kobayashi, Seiji Matsushita, Naoyuki Shimizu, Sakura Masuko, Masahito Yamamoto, Takahisa Murata   +5 more
doaj   +1 more source

Optical Character Recognition using CRNN

International Journal of Innovative Technology and Exploring Engineering, 2020
Optical Character Recognition (OCR) is a computer vision technique which recognizes text present in any form of images, such as scanned documents and photos. In recent years, OCR has improved significantly in the precise recognition of text from images.
Kambala Monica Sai*, Haritha Chandrika Panuganti, Kasim Bebe, G. S. Roja Pramila, G. Sankara Rao   +4 more
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Pill Box Text Identification Using DBNet-CRNN

International Journal of Environmental Research and Public Health, 2023
The recognition process of natural scenes is complicated at present, and images themselves may be complex owing to the special features of natural scenes. In this study, we use the detection and recognition of pill box text as an application scenario and design a deep-learning-based text detection algorithm for such natural scenes. We propose an end-to-
Liuqing Xiang, Hanyun Wen, Ming Zhao
openaire   +2 more sources