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Footnote-Based Document Image Classification
2017Analyzing historical document images is considered a challenging task due to the complex and unusual structures of these images. It is even more challenging to automatically find the footnotes in them. In fact, detecting footnotes is one of the essential elements for scholars to analyze and answer key questions in the historical documents. In this work,
Sara Zhalehpour +3 more
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Convolutional Neural Networks for Document Image Classification
2014 22nd International Conference on Pattern Recognition, 2014This paper presents a Convolutional Neural Network (CNN) for document image classification. In particular, document image classes are defined by the structural similarity. Previous approaches rely on hand-crafted features for capturing structural information. In contrast, we propose to learn features from raw image pixels using CNN.
Le Kang +4 more
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Visual appearance based document image classification
2010 IEEE International Conference on Image Processing, 2010In the paper, we present a new method for classifying documents with rigid geometry. Our approach is based on the fast and robust Viola-Jones object detection algorithm. The advantages of our proposed method are high speed, the possibility of automatic model construction using a training set, and processing of raw source images without any pre ...
Sergey A. Usilin +3 more
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Unsupervised Classification of Structurally Similar Document Images
2013 12th International Conference on Document Analysis and Recognition, 2013In this paper, we present a learning based approach for computing structural similarities among document images for unsupervised exploration in large document collections. The approach is based on multiple levels of content and structure. At a local level, a bag-of-visual words based on SURF features provides an effective way of computing content ...
Jayant Kumar, David S. Doermann
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Content-based classification of graphical document images
2010 2nd European Workshop on Visual Information Processing (EUVIP), 2010We present a computer vision based approach for classifying graphical document images by matching distinct visual patterns present in them. To accomplish this task the image is first decomposed into congruous segments, some of which contain distinct patterns followed by image matching to identify the presence of a specific pattern in the image. We have
Ashish Khare +2 more
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Unsupervised style classification of document page images
IEEE International Conference on Image Processing 2005, 2005Style classification of document page images is crucial for logical structure analysis of heterogeneous collections of documents. Both layout and contextual features contain significant information about document styles. Most existing methods are supervised methods in which specific document models or classifiers are learned from a training set of ...
Song Mao, Lan Nie, George R. Thoma
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Segmentation and classification of document images
IEE Colloquium on Document Image Processing and Multimedia Environments, 1995There is a significant and growing need to convert documents from printed paper to an electronic form. Document image analysis is concerned with the segmentation of the document image into regions of interest, their description, and the classification of the regions according to the type of their contents.
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Classification of Administrative Document Images by Logo Identification
2013This paper is focused on the categorization of administrative document images (such as invoices) based on the recognition of the supplier's graphical logo. Two different methods are proposed, the first one uses a bag-of-visual-words model whereas the second one tries to locate logo images described by the blurred shape model descriptor within documents
Marçal Rusiñol +3 more
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Cross-Modal Deep Networks For Document Image Classification
2020 IEEE International Conference on Image Processing (ICIP), 2020As a fundamental step of document related tasks, document classification has been widely adopted to various document image processing applications. Unlike the general image classification problem in the computer vision field, text document images contain both the visual cues and the corresponding text within the image.
Souhail Bakkali +3 more
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Highlighted Document Image Classification
Color and Imaging Conference, 2021Yafei Mao +6 more
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