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CTC token parsing algorithm using keyword spotting for BLSTM based unconstrained handwritten recognition

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Abstract

The images are becoming more popular in today’s world and being made available over the internet, scanned/captured documents are used in paperless offices and digital libraries. The keyword spotting is well known techniques in document image retrieval system and Recognition free Information retrieval is based on Keyword Spotting technique it searches for most related keyword from image as per user request by using only image features. In this paper, to avoid vanishing gradient problem in the handwritten recognition using parser methods and also character matching to perform efficient and reliable output result.

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Authors and Affiliations

  1. Faculty of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Rajiv Gandhi Salai, Chennai, Tamil Nadu, India

    Pinagadi Venkateswararao

  2. Department of Computer Science and Engineering, Panimalar Engineering College, Chennai, India

    S. Murugavalli

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  1. Pinagadi Venkateswararao
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  2. S. Murugavalli
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Correspondence to Pinagadi Venkateswararao.

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Venkateswararao, P., Murugavalli, S. CTC token parsing algorithm using keyword spotting for BLSTM based unconstrained handwritten recognition. J Ambient Intell Human Comput (2019). https://doi.org/10.1007/s12652-019-01458-0

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  • DOI: https://doi.org/10.1007/s12652-019-01458-0

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