Blood Group Identification Using Machine Learning

Sayali Neve; Pallavi Kumawat; Jayshri Mankar; Manjushri Parkhe; Prof. N.R. Kale

Blood Group Identification Using Machine Learning

April 2021

Vol-7, Issue-2

Paper ID: 14035

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Engineering

Keywords

Machine Learning Threshold Segmentation Histogram HSV Binary image computer Vision

Abstract

Abstract- Recognizing the blood group is very important in medical emergency cases. The method based on image processing and machine learning technology at present are very fast and it has widely used in the medical field. In this system, we are proposing the more accurate and fast recognition of human blood group based on computer vision and machine learning technology. Sometimes the human eye may give us an inaccurate result, but if we detect the blood group using computer vision with machine learning technology then the small error in the results which are calculated and given by humans is eliminated. Using computer vision technology, we can give the best result as this technology is growing faster and faster. This technique can quickly and accurately identify the blood group.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Sayali Neve	MET’s Institute of Engineering, Nashik, INDIA
2	Pallavi Kumawat	MET’s Institute of Engineering, Nashik, INDIA
3	Jayshri Mankar	MET’s Institute of Engineering, Nashik, INDIA
4	Manjushri Parkhe	MET’s Institute of Engineering, Nashik, INDIA
5	Prof. N.R. Kale	MET’s Institute of Engineering, Nashik, INDIA

How to Cite

Use the following formats to cite this article in your research.

APA Style

Neve, Sayali, Kumawat, Pallavi, Mankar, Jayshri, Parkhe, Manjushri, & Kale, Prof. N.R. (2021). Blood Group Identification Using Machine Learning. International Journal of Advance Research and Innovative Ideas In Education, 7(2), 1325-1327.

MLA Style

Neve, Sayali, et al. "Blood Group Identification Using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 2, 2021, pp. 1325-1327.

IEEE Style

Sayali Neve, Pallavi Kumawat, Jayshri Mankar, Manjushri Parkhe, and Prof. N.R. Kale, "Blood Group Identification Using Machine Learning," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 2, pp. 1325-1327, 2021.

Vancouver Style

Neve Sayali, Kumawat Pallavi, Mankar Jayshri, Parkhe Manjushri, Kale Prof. N.R.. Blood Group Identification Using Machine Learning. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(2):1325-1327.

Harvard Style

Neve, Sayali, Kumawat, Pallavi, Mankar, Jayshri, Parkhe, Manjushri, & Kale, Prof. N.R. (2021) 'Blood Group Identification Using Machine Learning', International Journal of Advance Research and Innovative Ideas In Education, 7(2), pp. 1325-1327.

Chicago Style

Neve, Sayali, et al. "Blood Group Identification Using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education 7, no. 2 (2021): 1325-1327.

Turabian Style

Neve, Sayali, et al. "Blood Group Identification Using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education 7, no. 2 (2021): 1325-1327.