• E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2021

    5.610

    Impact Factor 2022

    6.247

  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2021

    5.610

    Impact Factor 2022

    6.247

  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2021

    5.610

    Impact Factor 2022

    6.247

INTERNATIONAL JOURNAL OF INVENTIONS IN ENGINEERING & SCIENCE TECHNOLOGY

International Peer Reviewed (Refereed), Open Access Research Journal
(By Aryavart International University, India)

Paper Details

LEVERAGING DEEP LEARNING TOOLS AND TECHNIQUES TO DETECT AND RECOGNISE OPTICAL CHARACTER

Rishit Garkhel

115 - 119 Vol. 5, Jan-Dec, 2019
Receiving Date: 2019-10-01;    Acceptance Date: 2019-10-27;    Publication Date: 2019-11-04
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Abstract

The issue of the picture to message-based transformation continues in numerous spaces of use. This task tries to arrange an individual manually written person to interpret transcribed text into an advanced structure. To perform this research, we will use two main approaches: matching numbers and segmentation of characters. For the prior approach, we will use CNN with different structures for model training that will classify characters with high precision. For the later process, we will implement LSTM for each character bounding box.

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