Recognising Handwritten Multi-digit Data using Convolutional Neural Networks

Digitization is seen as an essential part these days. Many vendors at neighborhood markets still use paper bills, so this may be helpful there. In response to this urgent issue, this study introduces a fresh method for digitizing handwritten invoices. To replace handwritten invoices with digital ones, the proposed method employs image processing and neural networks. The proposed method is hassle-free for the vendor as all he has to do is snap a photo of the handwritten invoice.

Authors

Publication Details

Journal
˜The œBioscan.
Published
2024-11-11
DOI
https://doi.org/10.63001/tbs.2024.v19.i02.s2.pp222-224
Primary Topic
Handwritten Text Recognition Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Recognising Handwritten Multi-digit Data using Convolutional Neural Networks

Prithvishree Ravindra, Md. Shamim
˜The œBioscan.
Handwritten Text Recognition Techniques
article

Recognising Handwritten Multi-digit Data using Convolutional Neural Networks

Prithvishree Ravindra, Md. Shamim
article en

Abstract

Digitization is seen as an essential part these days. Many vendors at neighborhood markets still use paper bills, so this may be helpful there. In response to this urgent issue, this study introduces a fresh method for digitizing handwritten invoices. To replace handwritten invoices with digital ones, the proposed method employs image processing and neural networks. The proposed method is hassle-free for the vendor as all he has to do is snap a photo of the handwritten invoice.

˜The œBioscan.Vol. 19(Supplement 2)
Openalex Percentile: Top 80%
Handwritten Text Recognition Techniques
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Recognising Handwritten Multi-digit Data using Convolutional Neural Networks — Prithvishree Ravindra, Md. Shamim · ˜The œBioscan. (2024) | TGRS Research Map | TGRS