Dissertations - M Tech (CRS)

Permanent URI for this collectionhttp://164.52.219.250:4000/handle/10263/7285

Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Technology in Cryptology and Security

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    Evaluation of Optical Character Recognition (OCR) accuracy: Supervised and Unsupervised techniques
    (Indian Statistical Institute, Kolkata, 2021-07) Banerjee, Niladri
    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.