Results 221 to 230 of about 36,786 (257)

Multimodal Classification of Document Embedded Images

2018
Images embedded in documents carry extremely rich information that is vital in its content extraction and knowledge construction. Interpreting the information in diagrams, scanned tables and other types of images, enriches the underlying concepts, but requires a classifier that can recognize the huge variability of potential embedded image types and ...
Matheus P. Viana, Quoc-Bao Nguyen, John R. Smith, Maria Gabrani   +3 more
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Convolutional Neural Networks for Document Image Classification

2014 22nd International Conference on Pattern Recognition, 2014
This 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, Jayant Kumar, Peng Ye 0001, Yi Li 0025, David S. Doermann   +4 more
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Visual appearance based document image classification

2010 IEEE International Conference on Image Processing, 2010
In 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, Dmitry P. Nikolaev, Vassili V. Postnikov, Gerald Schaefer   +3 more
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Content-based classification of graphical document images

2010 2nd European Workshop on Visual Information Processing (EUVIP), 2010
We 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, Puneet Jeph, Hiranmay Ghosh   +2 more
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Unsupervised style classification of document page images

IEEE International Conference on Image Processing 2005, 2005
Style 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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Unsupervised Classification of Structurally Similar Document Images

2013 12th International Conference on Document Analysis and Recognition, 2013
In 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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Classification of Administrative Document Images by Logo Identification

2013
This 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, Vincent Poulain D'Andecy, Dimosthenis Karatzas, Josep Lladós 0001   +3 more
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Segmentation and classification of document images

IEE Colloquium on Document Image Processing and Multimedia Environments, 1995
There 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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Document image classification using SEMCON

2015 20th Symposium on Signal Processing, Images and Computer Vision (STSIVA), 2015
In this paper, we are proposing a new semantic and contextual based document image classification framework. The framework is composed of two main modules. The first one is the text analysis module (TAM) which processes document images and extracts words from the image, and second one is the SEMCON, which is a semantic and contextual objective metric ...
Zenun Kastrati, Ali Shariq Imran
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Document Image Classification: Towards Assisting Visually Impaired

TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON), 2019
Our work aims to enable the visual information in a document to be accessible by the visually impaired or the blind people. The blind people prefer arts over science subjects in higher education because conveying equations and algorithms to them is seen as difficult. They should not be deprived of acquiring knowledge due to physical disabilities.
K. C. Shahira, A. Lijiya
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