• Chandan S P
• K R Sumana
• Lahari S K

It is becoming more apparent that scholarly work and many areas of business require proper and efficient data extraction through OCR. This paper has the following objectives of describing the strategies used in the development as well as optimization of the OCR data extraction and Barcode/QR Code through the construction of the NLP-NER models. Concerning the futures work of the proposed approach, the aim is to increase the efficiency of the image analysis in terms of quality and time by using the approaches based on the ML.

OCR, Barcode/QR Code, NLP, NER, Image Analysis, Machine Learning, Data Extraction, Custom Models.

"Optimized OCR Data Extraction Using Custom Trained NLP-NER Models for Enhanced Image Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 7, page no.h159-h162, July-2024, Available :http://www.jetir.org/papers/JETIR2407720.pdf

"Optimized OCR Data Extraction Using Custom Trained NLP-NER Models for Enhanced Image Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 7, page no. pph159-h162, July-2024, Available at : http://www.jetir.org/papers/JETIR2407720.pdf