Please use this identifier to cite or link to this item: http://hdl.handle.net/10263/7324
Title: Evaluation of Optical Character Recognition (OCR) accuracy: Supervised and Unsupervised techniques
Authors: Banerjee, Niladri
Keywords: Optical Character Recognition (OCR)
Supervised techniques
Unsupervised techniques
Issue Date: Jul-2021
Publisher: Indian Statistical Institute, Kolkata
Citation: 30p.
Series/Report no.: Dissertation;;
Abstract: This work’s aim is to find an efficient method to measure the Optical Character Recognition (OCR) accuracy in the absence of the ground truth text. To successfully obtain the desired result, initially we have tried some efficient supervised (in the presence of the ground truth text) accuracy measuring techniques. Then we tried some unsupervised (in the absence of the ground truth text) techniques, which is the final goal of our project, and compare their performance with respect to the previously obtained supervised techniques. Our final project goal is to provide an efficient unsupervised accuracy measuring technique which can help us to automate the document analysis process.
Description: Dissertation Under the guidance of, Dr. Clarisse Magarreiro &Dr. Anisur Rahaman Molla
URI: http://hdl.handle.net/10263/7324
Appears in Collections:Dissertations - M Tech (CRS)

Files in This Item:
File Description SizeFormat 
Niladri Banerjee -crs-19-21.pdf3 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.