Results 11 to 20 of about 15,930,327 (280)
EmmDocClassifier: Efficient Multimodal Document Image Classifier for Scarce Data
Applied Sciences, 2022 Document classification is one of the most critical steps in the document analysis pipeline. There are two types of approaches for document classification, known as image-based and multimodal approaches. Image-based document classification approaches are
Shrinidhi Kanchi +5 more
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A Novel Adaptive Deskewing Algorithm for Document Images
Sensors, 2022 Document scanning often suffers from skewing, which may seriously influence the efficiency of Optical Character Recognition (OCR). Therefore, it is necessary to correct the skewed document before document image information analysis.
Wuzhida Bao +6 more
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Image-Text Sentiment Analysis Model Based on Visual Aspect Attention [PDF]
Jisuanji kexue, 2022 Social network has become an integral part of our daily life.Sentiment analysis of social media information is helpful to understand people's views,attitudes and emotions on social networking sites.Traditional sentiment analysis mainly relies on text ...
YUAN Jing-ling, DING Yuan-yuan, SHENG De-ming, LI Lin
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Text classification method review [PDF]
, 2007 With the explosion of information fuelled by the growth of the World Wide Web it is no longer feasible for a human observer to understand all the data coming in or even classify it into categories.
Tiwari, Ashutosh +3 more
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Applied Sciences, 2022 In this paper, we propose a new convolutional neural network (CNN) architecture for improving document-image quality through decreasing the impact of distortions (i.e., blur, shadows, contrast issues, and noise) contained therein.
Kabeh Mohsenzadegan +2 more
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Sensors, 2021 This paper’s core objective is to develop and validate a new neurocomputing model to classify document images in particularly demanding hard conditions such as image distortions, image size variance and scale, a huge number of classes, etc.
Kabeh Mohsenzadegan +2 more
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Journal of Imaging, 2021 Analysis of degraded ancient documents is challenging due to the severity and combination of degradation present in a single image. Ancient documents also suffer from additional noise during the digitalization process, particularly when digitalization is
Fitri Arnia +2 more
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Intelligent Document-filling System with Source Document Electronization on Mobile Devices Based on Image Recognition [PDF]
Jisuanji gongcheng, 2017 In order to realize the automatic electronization for source document,this paper proposes an automatic source document classification method based on image features.Based on the document layout analysis of rule hypothesis tree,an intelligent document ...
LU Jing,SONG Bin,XIANG Wanhong,WU Shihong,SUN Xiaodong,TANG Jing
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Deep Learning Method for Handwriting Recognition
MANAS: Journal of Engineering, 2021 The advancement of technology nowadays resulted into documents, such as forms and petitions, being filled out in computer and digital environment. Yet in some cases, documents are still preserved in traditional style, on print.
Abdullah Erdal Tümer +1 more
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Multi modal multi-semantic image retrieval [PDF]
, 2010 PhDThe rapid growth in the volume of visual information, e.g. image, and video can overwhelm users’ ability to find and access the specific visual information of interest to them.
Kesorn, Kraisak
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