• Abhishek Jayesh Deshkar
• Shilpa Sonawani

Visually challenged people and uneducated people face a lot of adverse challenges in their day to day life Most of the time they are perplexed in a new environment or surrounding due to issues related to accessibility. So, this prevents them from experiencing the world in the same way as others do. Identifying and accessing things is something many of us may take it for granted. But the visually challenged people are curbed by their disability. Especially in a medicine taking scenario, it is difficult for them to find whether they have identified the medicine correctly or not. They will have to seek others help for it. Moreover, a mobile application will be easy to use and the hardware needed is very limited. We have proposed a system in order to expedite easy and innate ways to find the medicine name and expiry date from its packaging for the visually impaired people. In this system, the pictures of the medicine strip held in the hand are captured by the inbuilt camera of the wearable device. The image is processed and consequently text localization and extraction is done by which the name of the medicine and expiry date is identified.

Optical Character Recognition (OCR), Python, Medicine Strip, Computer Vision, Natural Language Processing, Text Classification.

"VOICE BASED APPLICATION FOR EXTRACTING MEDICINE INFORMATION FROM STRIP", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.165-169, April-2019, Available :http://www.jetir.org/papers/JETIR1904U75.pdf

"VOICE BASED APPLICATION FOR EXTRACTING MEDICINE INFORMATION FROM STRIP", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp165-169, April-2019, Available at : http://www.jetir.org/papers/JETIR1904U75.pdf