Aptisi Transactions on Technopreneurship (ATT)
Vol 2 No 2 (2020): September

Custom OCR for Identity Documents:OCRXNet

Kawal Arora (Signy Advanced Technologies)
Ankur Singh Bist (Signy Advanced Technologies)
Roshan Prakash (Signy Advanced Technologies)
Saksham Chaurasia (Signy Advanced Technologies)

Article Info

Publish Date
16 Jun 2020

Abstract

Recent advancements in the area of Optical Character Recognition (OCR) using deep learning techniques made it possible to use for real world applications with good accuracy. In this paper we present a system named as OCRXNet. OCRXNetv1, OCRXNetv2 and OCRXNetv3 are proposed and compared on different identity documents. Image processing methods and various text detectors have been used to identify best fitted process for custom ocr of identity documents. We also introduced the end to end pipeline to implement OCR for various use cases.

Copyrights © 2020




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Journal Info
Aptisi Transactions on Technopreneurship (ATT)
Website

Abbrev

att

Publisher

Asosiasi Perguruan Tinggi Swasta Indonesia

Subject

Humanities Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

Description

APTISI Transactions on Technopreneurship (ATT) is an international triannual open access scientific journal published by  Pandawan Sejahtera Indonesia. ATT publishes original scientific researchers from scholars and experts around the world with novelty based on the theoretical, experimental, ...