Abstract—The growing elderly population in Thailand faces challenges in managing medications, particularly due to vision impairments affecting adherence. This research introduces a novel approach using Optical Character Recognition (OCR) integrated into a mobile platform to automate the extraction of pharmaceutical label information. The system operates in four phases: image capture, quality enhancement, text extraction, and data processing. Text extraction employs advanced techniques such as medication verification via fuzzy matching with Levenshtein distance, dosage instruction using regular expressions, frequency confirmation through dictionary matching, and medical indications with named entity recognition. The system achieved an overall accuracy of 98.67%. The application significantly enhances medication safety for visually impaired elderly users, with positive satisfaction reported for medication entry, scanning, and reminders.
 
Keywords—applied medical informatics, pharmaceutical label data processing, pharmaceutical label transcription, Optical Character Recognition (OCR)


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