An accuracy examination of OCR tools

N/ACitations
Citations of this article
14Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this research paper, the authors have aimed to do a comparative study of optical character recognition using different open source OCR tools. Optical character recognition (OCR) method has been used in extracting the text from images. OCR has various applications which include extracting text from any document or image or involves just for reading and processing the text available in digital form. The accuracy of OCR can be dependent on text segmentation and pre-processing algorithms. Sometimes it is difficult to retrieve text from the image because of different size, style, orientation, a complex background of image etc. From vehicle number plate the authors tried to extract vehicle number by using various OCR tools like Tesseract, GOCR, Ocrad and Tensor flow. The authors in this research paper have tried to diagnose the best possible method for optical character recognition and have provided with a comparative analysis of their accuracy.

Cite

CITATION STYLE

APA

Majumdar, J., & Gupta, R. (2019). An accuracy examination of OCR tools. International Journal of Innovative Technology and Exploring Engineering, 8(9 Special Issue 4), 5–9. https://doi.org/10.35940/ijitee.I1102.0789S419

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free