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A Convolutional Recurrent Neural Network for the Handwritten Text Recognition of Historical Greek Manuscripts
In this paper, a Convolutional Recurrent Neural Network architecture for offline handwriting recognition is proposed. Specifically, a Convolutional...
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A word spotting framework for historical machine-printed documents
In this paper, we propose a word spotting framework for accessing the content of historical machine-printed documents without the use of an optical...
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DIBCO 2009: document image binarization contest
DIBCO 2009 is the first International Document Image Binarization Contest organized in the context of ICDAR 2009 conference. The general objective of...
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Scale Selection for Compact Scale-Space Representation of Vector-Valued Images
This paper investigates the scale selection problem for nonlinear diffusion scale-spaces. This topic comprises the notions of localization scale...
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Keyword-guided word spotting in historical printed documents using synthetic data and user feedback
In this paper, we propose a novel technique for word spotting in historical printed documents combining synthetic data and user feedback. Our aim is...
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An old greek handwritten OCR system based on an efficient segmentation-free approach
Recognition of Old Greek Early Christian manuscripts is essential for efficient content exploitation of the valuable Old Greek Early Christian...
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An efficient segmentation-free approach to assist old Greek handwritten manuscript OCR
Recognition of old Greek manuscripts is essential for quick and efficient content exploitation of the valuable old Greek historical collections. In...
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Knowledge Acquisition from Multimedia Content using an Evolution Framework
We propose an approach to knowledge acquisition, which uses multimedia ontologies for fused extraction of semantics from multiple modalities, and...
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Watershed-Driven Region-Based Image Retrieval
This paper presents a strategy for content-based image retrieval. It is based on a meaningful segmentation procedure that can provide proper...
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Automatic Watershed Segmentation of Color Images
This paper presents a fully automatic watershed color segmentation scheme which is an extension to color images of a previously reported approach...
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Using Landmarks to Establish a Point-to-Point Correspondence between Signatures
This paper introduces a new approach for point-to-point correspondence finding, which can be used as pre-processing stage of a handwritten signature...
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Watershed Analysis and Relaxation Labelling: A cooperative approach for the interpretation of Cranial-MR images using a Statistical Digital Atlas
The aim of the present work is to provide a probabilistic framework for the segmentation/labelling of images, exploiting a priori knowledge...