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Receipt Enhancement using Image Processing

Talk page: https://za.pycon.org/talks/23-receipt... Speakers: Verosha Pillay & Divyan Hirasen Track: Data Science Type: Talk Room: Talk Room 1 Time: Oct 05 (Thu): 11:00 Duration: 0:45 Audience: The audience for this investigation includes individuals or businesses interested in leveraging image segmentation, image processing, and OCR techniques. What they will get out of it: The audience will gain insights into how image segmentation and image processing techniques can be applied to standardize and enhance receipt photos, leading to improved storage quality. They will also understand the benefits of using OCR for extracting key information from receipts, making it easier to store and access them for warranty purposes. The investigation will showcase the potential of developing a proof of concept (POC) that simplifies the process of locating receipts and provides a convenient digital record accessible via email notifications. What will be covered: The investigation will cover the following key points: Image Segmentation and Processing Optical Character Recognition (OCR) Simplifying Receipt Management Benefits and Challenges Future Improvements Sponsors: Platinum: Python Software Foundation: https://www.python.org/psf/membership Patron: Thinkst Canary: https://canary.tools/ Afrolabs: http://www.afrolabs.co.za/