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This paper describes a method for extracting relevant tokens of entity from semi-structured administrative documents. This method is used for mislabeling correction by employing the entity tokens physically close in a document. Firstly, the entities are labeled. Secondly, each entity is modeled by a tokens structure graph in which the nodes represent the tokens and the arcs represent the distances...
Handwritten words classification is a difficult task due to the high variability and uncertainty of human writing styles. The aim of this work is to Performance of curvelets, dual-tree complex wavelet and discrete wavelet transform in handwritten words classification. Curvelet transform, Dual-Tree complex wavelet transform (DTCWT), Haar, Daubechies, Coiflets, Symlet, Discrete Meyr, Biothogonal and...
In this paper, we present an integrated system able to localize multi-oriented handwritten annotations in scanned documents. Unlike previous single methods which limit colors or types of annotations to be extracted, the proposed method attempts to extract annotations by fusing three feature extraction techniques based on internal and external shape analysis. Our method consists of two processes: 1)...
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