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A State of Art Approaches on Handwriting Recognition Models | IEEE Conference Publication | IEEE Xplore

A State of Art Approaches on Handwriting Recognition Models


Abstract:

Presently, handwriting recognition (HWR) become an open research issue to recognize the handwritten words out of a scanned document which is unconstrained. In spite of th...Show More

Abstract:

Presently, handwriting recognition (HWR) become an open research issue to recognize the handwritten words out of a scanned document which is unconstrained. In spite of the extensive implication of computer in office, handwriting still stays as a significant mode of annotating and apprehending textual data. In recent days, there is an exponential growth in the number of researches carried out in this field because of its benefits. On the past decade, great efforts are paid to the online hand-drawn content interpretation from handwritten text. Keeping this in mind, in this paper, we made a review of existing HWR model in different aspects have been reviewed.
Date of Conference: 14-15 March 2019
Date Added to IEEE Xplore: 05 December 2019
ISBN Information:
Conference Location: Chennai, India

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