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Tóm tắt luận án enhancing performance of mathematical expression detection in scientific document images
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Ngày đăng: 22/11/2021, 10:36
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Mục lục
ME detection methods in document images
Rule-based detection
Handcrafted feature extraction methods for the ME detection
Deep neural network for ME detection
ME recognition
Traditional approaches for ME recognition
Neural network approaches for ME recognition
Datasets and evaluation metrics
Datasets
Detection of MEs using the late fusion of handcrafted and deep learning features
Introduction
Handcrafted feature extraction for ME detection
Handcrafted feature extraction for isolated ME detection
Handcrafted feature extraction for inline ME detection
Deep learning method for ME detection
Fusion of handcrafted and deep learning features for ME detection
Post-processing for ME detection
Summary of the chapter
The detection of MEs by using the combination of the Distance Transform and Faster R-CNN
Overview of the proposed method for ME detection using the DT and the Faster R-CNN
The detection of MEs using the DT and the Faster R-CNN
Distance transform of document image
ME detection using a Faster R-CNN
Region proposal network
Fully connected detection network
Experimental results
Comparison of the proposed and state-of-the-art methods used in ME detection
Summary of the chapter
Detection and recognition of MEs in document images
Overview of the proposed system for the detection and recognition of MEs
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