Identification of Drug Discovery for Patients Using Machine Learning
| Autor: | I. Rexiline Sheeba, P. Chitra, Balamurugan Velan, L. Jegan Antony Marcilin, M. Sugadev |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Connected component
0209 industrial biotechnology business.industry Computer science Character (computing) Deep learning 02 engineering and technology computer.software_genre Convolutional neural network Support vector machine Identification (information) 020901 industrial engineering & automation Fragment (logic) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business computer Natural language processing Word (computer architecture) |
| Zdroj: | 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS). |
| Popis: | Deep learning place an very important role in the identification. In this paper an Identification of drug for medicine preparing machines has been proposed. In general, medicine name contains large characters in the medicine box, the drug identification can be converted into the largest character identification in the image in this proposed system. Firstly, Support Vector Machine (SVM) is used with Connected Component to recognize the text region which intern finds largest region to identify the drug name. Later Fragment Link is used for text division purpose that is it helps to divide the drug name into two elements. Those elements are Fragment and Link which join the full word according to the rules. For identification Convolutional neural network software is used. After identification the final output is played in audio player. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|