Doctors prescriptions handwriting Computer Vision Project

Testing

Updated 3 months ago

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Description

Here are a few use cases for this project:

  1. Healthcare Automation: The model can be used to digitize handwritten medical prescriptions thus reducing manual transcription errors and streamlining the process in pharmacies and hospitals.

  2. Historical Document Digitization: This model could be utilized for transcribing old handwritten medical documents for research purposes.

  3. Handwriting Analysis Tool: The model can be used for general handwriting analysis purposes, for example in educational institutions to improve handwriting recognition or in forensic analysis.

  4. OCR Software Improvement: This model can be integrated with OCR (Optical Character Recognition) software to enhance its performance in recognizing and interpreting handwritten text, capitalizing on the diverse range of characters available.

  5. Medical Informatics Studies: Researchers using digital health records for epidemiological studies can utilize this model to extract data from handwritten prescriptions or doctor's notes.

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            doctors-prescriptions-handwriting-ce8ll_dataset,
                            title = { Doctors prescriptions handwriting Dataset },
                            type = { Open Source Dataset },
                            author = { Testing },
                            howpublished = { \url{ https://universe.roboflow.com/testing-tbeeh/doctors-prescriptions-handwriting-ce8ll } },
                            url = { https://universe.roboflow.com/testing-tbeeh/doctors-prescriptions-handwriting-ce8ll },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { aug },
                            note = { visited on 2024-11-13 },
                            }