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Automatic transcription of historical documents is vital for the creation of digital libraries. In this paper we propose graph similarity features as a novel descriptor for handwriting recognition in historical documents based on Hidden Markov Models. Using a structural graph-based representation of text images, a sequence of graph similarity features is extracted by means of dissimilarity embedding...
In this paper we present different large-scale heterogeneous integration technologies for optical MEMS that enable the integration of optical MEMS with standard CMOS-based ICs. Examples that are presented include various mono-crystalline silicon micro-mirror arrays and infrared bolometer arrays.
Building recognition systems for historical documents is a difficult task. Especially, when it comes to medieval scripts. The complexity is mainly affected by the poor quality and the small quantity of the data available. In this paper we apply an HMM based recognition system to medieval manuscripts from the 13th century written in Middle High German. The recognition system, which was originally developed...
Bones consist of hierarchical biocomposite materials arranged in multi-scale structural geometry exhibiting complex behavior. This structure is vulnerable to various damaging factors that may cause its degradation, such as accidents, medical operations and diseases. Current technology cannot precisely reconstruct damaged bone tissue and can only roughly approximate such damaged structures. The aim...
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