OCR-Based Extraction of Expiry Dates and Batch Numbers in Medicine Packaging for Error-Free Data Entry

To guarantee patient safety and regulatory compliance, healthcare providers must accurately enter batch numbers and expiration dates from drug packaging. But manual entry is prone to mistakes, which could have unfavourable effects. This project suggests an automated method for extracting batch numbers and expiration dates from the back of pharmaceutical packaging by using optical character recognition (OCR) technology. In order to improve OCR accuracy, the research makes use of preprocessing techniques and a broad dataset of photos from medical packaging. The retrieved text is analysed to determine the batch number and expiration date, and data correctness is ensured by validation procedures. The end product solution reduces errors in healthcare data management by offering an intuitive user interface for effective data extraction. By means of thorough inspection and evaluation, The experiment shows how the OCR-based system can reliably and effectively extract important information from pharmaceutical packaging. Through the reduction of data entry errors and the facilitation of error-free information retrieval from drug packaging, this effort seeks to improve patient safety and streamline healthcare procedures.

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Published
2024-08-08
DOI
https://doi.org/10.1109/iccpct61902.2024.10673325
Citations
1
Primary Topic
Handwritten Text Recognition Techniques
Type
article
Field-Weighted Citation Impact
0.25
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OCR-Based Extraction of Expiry Dates and Batch Numbers in Medicine Packaging for Error-Free Data Entry

C. P. Shirley, S Kavin
1 citations
Handwritten Text Recognition Techniques
0.25
article

OCR-Based Extraction of Expiry Dates and Batch Numbers in Medicine Packaging for Error-Free Data Entry

C. P. Shirley, S Kavin
article en
1 citations

Abstract

To guarantee patient safety and regulatory compliance, healthcare providers must accurately enter batch numbers and expiration dates from drug packaging. But manual entry is prone to mistakes, which could have unfavourable effects. This project suggests an automated method for extracting batch numbers and expiration dates from the back of pharmaceutical packaging by using optical character recognition (OCR) technology. In order to improve OCR accuracy, the research makes use of preprocessing techniques and a broad dataset of photos from medical packaging. The retrieved text is analysed to determine the batch number and expiration date, and data correctness is ensured by validation procedures. The end product solution reduces errors in healthcare data management by offering an intuitive user interface for effective data extraction. By means of thorough inspection and evaluation, The experiment shows how the OCR-based system can reliably and effectively extract important information from pharmaceutical packaging. Through the reduction of data entry errors and the facilitation of error-free information retrieval from drug packaging, this effort seeks to improve patient safety and streamline healthcare procedures.

Vol. 4
Karunya University (IN)
Openalex Percentile: Top 47%
Handwritten Text Recognition Techniques
0.25
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