Work

Custom OCR for Identity Documents:OCRXNet

Year: 2020

Type: article

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.

Source: Aptisi Transactions On Technopreneurship (ATT)

DOI: 10.34306/att.v2i2.87

Authors: Kawal Arora, Ankur Singh Bist, Roshan Prakash, Saksham Chaurasia

Language: English

Topic: Handwritten Text Recognition Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W3036476490

FWCI: 0.504

Cites: 17

Cited by: 8

Related to: 10