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- W2061752750 abstract "In this article, we propose a hybrid model for spotting words and regular expressions (REGEX) in handwritten documents. The model is made of the state-of-the-art BLSTM (Bidirectional Long Short Time Memory) neural network for recognizing and segmenting characters, coupled with a HMM to build line models able to spot the desired sequences. Experiments on the Rimes database show very promising results." @default.
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- W2061752750 date "2015-02-08" @default.
- W2061752750 modified "2023-10-18" @default.
- W2061752750 title "Spotting handwritten words and REGEX using a two stage BLSTM-HMM architecture" @default.
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- W2061752750 doi "https://doi.org/10.1117/12.2075796" @default.
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