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2013 12th International Conference on Document Analysis and Recognition

25-28 Aug. 2013

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  • [Front cover]

    Publication Year: 2013, Page(s): C4
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  • [Title page i]

    Publication Year: 2013, Page(s): i
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  • [Title page iii]

    Publication Year: 2013, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2013, Page(s): iv
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  • Table of contents

    Publication Year: 2013, Page(s):v - xxiii
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  • Welcome from the Executive Chairs

    Publication Year: 2013, Page(s):xxiv - xxv
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  • Welcome from the Program Chairs

    Publication Year: 2013, Page(s): xxvi
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  • Organizing Committee

    Publication Year: 2013, Page(s): xxvii
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  • Program Committee

    Publication Year: 2013, Page(s): xxviii
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  • Sponsors

    Publication Year: 2013, Page(s): xxix
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  • Keynotes

    Publication Year: 2013, Page(s):xxx - xxxiii
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (152 KB)

    These keynote speeches discuss the following: online handwriting generation; manuscript studies; imaging technologies; and graphics tools. View full abstract»

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  • Analyzing the Distribution of a Large-Scale Character Pattern Set Using Relative Neighborhood Graph

    Publication Year: 2013, Page(s):3 - 7
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (582 KB) | HTML iconHTML

    The goal of this research is to understand the true distribution of character patterns. Advances in computer technology for mass storage and digital processing have paved way to process a massive dataset for various pattern recognition problems. If we can represent and analyze the distribution of a large-scale character pattern set directly and understand its relationships deeply, it should be hel... View full abstract»

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  • Locally Smoothed Modified Quadratic Discriminant Function

    Publication Year: 2013, Page(s):8 - 12
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (231 KB) | HTML iconHTML

    Modified quadratic discriminant function (MQDF) is a state-of-the-art classifier for handwriting recognition. However, the big gap between accuracies on training and testing sets indicates that MQDF has a good capability to fit training data but the generalization performance is not promising. To solve this problem, we propose a new model called locally smoothed modified quadratic discriminant fun... View full abstract»

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  • IBM_UB_1: A Dual Mode Unconstrained English Handwriting Dataset

    Publication Year: 2013, Page(s):13 - 17
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (206 KB) | HTML iconHTML

    In this paper we present a new dual mode, twin-folio structured English handwriting dataset IBM_UB_1. IBM_UB_1 is our first major release from a large multilingual handwriting corpus. Containing over 6000 pages of handwritten matter, this dataset can not only be used for unconstrained handwriting recognition, more importantly, the dataset's unique twin-folio structure presents a natural fit for re... View full abstract»

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  • Character Recognition Using Conditional Random Field Based Recognition Engine

    Publication Year: 2013, Page(s):18 - 22
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (235 KB) | HTML iconHTML

    The paper presents a novel script independent CRF based inferencing framework for character recognition. In this framework we consider a word as a sequence of connected components. The connected components are obtained using different binarization schemes and different possible sequences are considered using a tree structure. CRF uses contextual information to learn perfect primitive sequences and... View full abstract»

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  • The Wordometer -- Estimating the Number of Words Read Using Document Image Retrieval and Mobile Eye Tracking

    Publication Year: 2013, Page(s):25 - 29
    Cited by:  Papers (10)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1265 KB) | HTML iconHTML

    We introduce the Wordometer, a novel method to estimate the number of words a user reads using a mobile eye tracker and document image retrieval. We present a reading detection algorithm which works with over 91 % accuracy over 10 test subjects using 10-fold cross validation. We implement two algorithms to estimate the read words using a line break detector. A simple version gives an average error... View full abstract»

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  • Wearable Reading Assist System: Augmented Reality Document Combining Document Retrieval and Eye Tracking

    Publication Year: 2013, Page(s):30 - 34
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (483 KB) | HTML iconHTML

    We present a new system that assists people's reading activity by combining a wearable eye tracker, a see-through head mounted display, and an image based document retrieval engine. An image based document retrieval engine is used for identification of the reading document, whereas an eye tracker is used to detect which part of the document the reader is currently reading. The reader can refer to ... View full abstract»

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  • Document Information Extraction and Its Evaluation Based on Client's Relevance

    Publication Year: 2013, Page(s):35 - 39
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (523 KB) | HTML iconHTML

    In this paper, we present a model-based document information content extraction approach and perform in-depth evaluation based on clients' relevance. Real-world users i.e., clients first provide a set of key fields from the document image which they think are important. These are used to represent a graph where nodes (i.e., fields) are labelled with dynamic semantics including other features and e... View full abstract»

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  • VisualDiff: Document Image Verification and Change Detection

    Publication Year: 2013, Page(s):40 - 44
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (304 KB) | HTML iconHTML

    This paper explores the related problems of verification and change detection in document images. The goal is to determine if two document images differ, and if so, to determine precisely what content may have been added, deleted, or otherwise modified. This problem has many potential applications, especially for important legal documents such as contractual agreements. These agreements are often ... View full abstract»

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  • Integrating Copies Obtained from Old and New Preservation Efforts

    Publication Year: 2013, Page(s):47 - 51
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1054 KB) | HTML iconHTML

    The Dead Sea Scrolls were discovered in the Qumran area and elsewhere in the Judean desert beginning in 1947 and were photographed in infrared in the 1950s. Recently, the Israel Antiquities Authority embarked on an ambitious project to digitize all the fragments using multi-spectral cameras. We describe a method that utilizes information from both of these image sets: the highly detailed multispec... View full abstract»

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  • Fast Integral MeanShift: Application to Color Segmentation of Document Images

    Publication Year: 2013, Page(s):52 - 56
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (401 KB) | HTML iconHTML

    Global Mean Shift algorithm is an unsupervised clustering technique already applied for color document image segmentation. Nevertheless, its important computational cost limits its application for document images. The complexity of the global approach is explained by the intensive search of colors samples in the Parzen window to compute the vector oriented toward the mean. For making it more flexi... View full abstract»

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  • Staff Line Detection and Removal in the Grayscale Domain

    Publication Year: 2013, Page(s):57 - 61
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2028 KB) | HTML iconHTML

    The detection of staff lines is the first step of most Optical Music Recognition (OMR) systems. Its great significance derives from the ease with which we can then proceed with the extraction of musical symbols. All OMR tasks are usually achieved using binary images by setting thresholds that can be local or global. These techniques however, may remove relevant information of the music sheet and i... View full abstract»

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  • Vectorization of 3D-Characters by Integral Invariant Filtering of High-Resolution Triangular Meshes

    Publication Year: 2013, Page(s):62 - 66
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1332 KB) | HTML iconHTML

    Motivated by the demand of today's Assyriologists we develop a system for automated detection and extraction of cuneiform script, which is one of the most important sources for ancient history. Traditional means of documentation are (i) photographs and (ii) manual drawings, which are increasingly replaced by shape acquisition using 3D-scanners resulting in (iii) high-resolution 3D-models. To utili... View full abstract»

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  • An Irrelevant Variability Normalization Based Discriminative Training Approach for Online Handwritten Chinese Character Recognition

    Publication Year: 2013, Page(s):69 - 73
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (227 KB) | HTML iconHTML

    This paper presents a discriminative training approach to irrelevant variability normalization (IVN) based joint training of feature transforms and prototype-based classifier for recognition of online handwritten Chinese characters. A sample separation margin based minimum classification error criterion is adopted in IVN-based training, while an Rprop algorithm is used for optimizing the objective... View full abstract»

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  • Learning-Based Candidate Segmentation Scoring for Real-Time Recognition of Online Overlaid Chinese Handwriting

    Publication Year: 2013, Page(s):74 - 78
    Cited by:  Papers (4)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (490 KB) | HTML iconHTML

    In overlaid handwriting, multiple characters are written sequentially in the same area. This needs special consideration for segmenting the stroke sequence into characters. We propose a learning-based model for scoring the candidate stroke cuts and segments for online overlaid Chinese handwriting recognition. Based on stroke cut classification using support vector machine (SVM), strokes are groupe... View full abstract»

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