A Hybrid BLSTM-HMM for Spotting Regular Expressions
نویسندگان
چکیده
This article concerns the spotting of regular expressions (REGEX) in handwritten documents using a hybrid model. Spotting REGEX in a document image allow to consider further extraction tasks such as document categorization or named entities extraction. Our model combines state of the art BLSTM recurrent neural network for character recognition and segmentation with a HMM model able to spot the desired sequences. Our experiments on a public handwritten database show interesting results.
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