Mode Detection in Online Handwritten Documents Using BLSTM Neural Networks

Abstract

Mode detection in online handwritten documents refers to the process of distinguishing different types of contents, such as text, formulas, diagrams, or tables, one from another. In this paper a new approach to mode detection is proposed that uses bidirectional long-short term memory (BLSTM) neural networks. The BLSTM neural network is a novel type of… (More)
DOI: 10.1109/ICFHR.2012.232

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