Open Access   Article Go Back

Aadhar & Driving License Information Extraction System

Kothagattu Surya Teja1 , Kunam Siri Chandana2 , R. Srinivas3 , B. Prasanthi4

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-11 , Page no. 173-176, Nov-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i11.173176

Online published on Nov 30, 2019

Copyright © Kothagattu Surya Teja, Kunam Siri Chandana, R. Srinivas, B. Prasanthi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Kothagattu Surya Teja, Kunam Siri Chandana, R. Srinivas, B. Prasanthi, “Aadhar & Driving License Information Extraction System,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.11, pp.173-176, 2019.

MLA Style Citation: Kothagattu Surya Teja, Kunam Siri Chandana, R. Srinivas, B. Prasanthi "Aadhar & Driving License Information Extraction System." International Journal of Computer Sciences and Engineering 7.11 (2019): 173-176.

APA Style Citation: Kothagattu Surya Teja, Kunam Siri Chandana, R. Srinivas, B. Prasanthi, (2019). Aadhar & Driving License Information Extraction System. International Journal of Computer Sciences and Engineering, 7(11), 173-176.

BibTex Style Citation:
@article{Teja_2019,
author = {Kothagattu Surya Teja, Kunam Siri Chandana, R. Srinivas, B. Prasanthi},
title = {Aadhar & Driving License Information Extraction System},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2019},
volume = {7},
Issue = {11},
month = {11},
year = {2019},
issn = {2347-2693},
pages = {173-176},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4962},
doi = {https://doi.org/10.26438/ijcse/v7i11.173176}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i11.173176}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4962
TI - Aadhar & Driving License Information Extraction System
T2 - International Journal of Computer Sciences and Engineering
AU - Kothagattu Surya Teja, Kunam Siri Chandana, R. Srinivas, B. Prasanthi
PY - 2019
DA - 2019/11/30
PB - IJCSE, Indore, INDIA
SP - 173-176
IS - 11
VL - 7
SN - 2347-2693
ER -

VIEWS PDF XML
479 236 downloads 236 downloads
  
  
           

Abstract

OCR based Aadhar & driving license info Extraction System may be a time period embedded system that mechanically acknowledges the kind of document whether or not it`s a Aadhar or driving license and extract the out there info from it. There square measure several applications starting from advanced security systems to common official work. OCR primarily based Aadhar & driving license info Extraction System has advanced characteristics because of various effects like totally different pattern in numerous Aadhar Card, totally different Spacing in text etc. Most of the OCR primarily based info Extraction System square measure designed mistreatment proprietary tools like MATLAB that takes a protracted method and time and conjointly will have many limitations and conjointly they`re unable to sight pattern and can`t extract the desired info severally. this concept presents an efficient technique of implementing OCR primarily based Aadhar & driving license info Extraction System mistreatment Free software package together with Python and therefore the Open pc Vision Library.

Key-Words / Index Term

Software Requirement, Python, OpenCV, Tesseract

References

[1] Rafi, Ali, Faraz, Athaul, “OCR Engine to extract Food-items and Prices from Receipts Images via Pattern matching and heuristics approach”, SMIU, 1st International Conference on computing and related technologies, 2017 [Souvik Das “The Development of a Microcontroller Based Low Cost Heart Rate Counter for Health Care Systems” International Journal of Engineering Trends and Technology- Volume4Issue2- 2013.
[2] Chaki, Nabendu, Soharab Hossain Shaikh, and Khalid Saeed. "A comprehensive survey on image binarization techniques." In Exploring Image Binarization Techniques, pp. 5-15. Springer India, 2014.
[3] Zhang, Mi, Anand Joshi, Ritesh Kadmawala, Karthik Dantu, Sameera Poduri, and Gaurav S. Sukhatme. "OCRdroid: A Framework to Digitize Text Using Mobile Phones." In MobiCASE, pp. 273-292. 2009.
[4] Brisinello, Matteo, Ratko Grbić, Matija Pul, and Tihomir Anđelić. "Improving Optical Character Recognition Performance for Low Quality Images." In 59th International Symposium ELMAR-2017. 2017.
[5] ZHAO, Yan, Yue CHEN, and Shi-gang WANG. "Corrected fast SIFT image stitching method by combining projection error." Optics and Precision Engineering 6 (2017): 029.