Hybrid HMM/BLSTM system for multi-script keyword spotting in printed and handwritten documents with identification stage

In this paper, we propose a novel script-independent approach for word spotting in printed and handwritten multi-script documents. Since each writing type and script need to be processed using a specific spotting engine, the proposed system proceeds on two stages. The script identification is a prel...

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Veröffentlicht in:	Neural computing & applications 2020-07, Vol.32 (13), p.9201-9215
Hauptverfasser:	Cheikhrouhou, Ahmed, Kessentini, Yousri, Kanoun, Slim
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Handwriting Hybrid systems Image Processing and Computer Vision Markov chains Neural networks Original Article Probability and Statistics in Computer Science
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