High Quality Facial Recognition System
Abstract & Details
Research Area
Computer Science and Engineering
Keywords
Distance Measurements
Face Recognition
Encoding
Artificial Neural Network
Feature Extraction Techniques
Accuracy
Abstract
High Quality automatic face recognition System may be a web base application. A top quality face recognition System could be a technology capable of identifying or verifying an individual from a digital image or a video frame from a video source. There are multiple methods within which biometric authentication system work, but normally, they work by comparing selected facial expression from given image with faces within a database. it's also described a Biometric AI based application that may uniquely identify someone by analyzing patterns supported the person’s facial, texture and shape.
We are using some different features also in our project. Example. Eyes or lips, some people have eyes in different shape or some people have little different, also the lips and nose are different. Means distance between nose and lips are difference off every one. So such features we use. Then in our project two phases are there the primary one is implementation of detection and second is recognition.
Face Recognition has become a pretty field in Computer based application developed within the previous few decades. this can be thanks to the big selection of areas during which it's used. additionally, due to the wide various of faces, face recognition from database images, real data, capture Images.
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Bhagyashri Mahajan | G. H. Raisoni Institute of Buisness Management |
| 2 | Khushabu Salunkhe | G. H. Raisoni Institute of Buisness Management |
| 3 | Sneha Kurkure | G. H. Raisoni Institute of Buisness Management |
| 4 | Pooja Gurav | G. H. Raisoni Institute of Buisness Management |
| 5 | Swati Patil | G. H. Raisoni Institute of Buisness Management |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Mahajan, Bhagyashri, Salunkhe, Khushabu, Kurkure, Sneha, Gurav, Pooja, & Patil, Swati (2021). High Quality Facial Recognition System. International Journal of Advance Research and Innovative Ideas In Education, 7(3), 619-624.
MLA Style
Mahajan, Bhagyashri, et al. "High Quality Facial Recognition System." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, 2021, pp. 619-624.
IEEE Style
Bhagyashri Mahajan, Khushabu Salunkhe, Sneha Kurkure, Pooja Gurav, and Swati Patil, "High Quality Facial Recognition System," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, pp. 619-624, 2021.
Vancouver Style
Mahajan Bhagyashri, Salunkhe Khushabu, Kurkure Sneha, Gurav Pooja, Patil Swati. High Quality Facial Recognition System. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(3):619-624.
Harvard Style
Mahajan, Bhagyashri, Salunkhe, Khushabu, Kurkure, Sneha, Gurav, Pooja, & Patil, Swati (2021) 'High Quality Facial Recognition System', International Journal of Advance Research and Innovative Ideas In Education, 7(3), pp. 619-624.
Chicago Style
Mahajan, Bhagyashri, et al. "High Quality Facial Recognition System." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 619-624.
Turabian Style
Mahajan, Bhagyashri, et al. "High Quality Facial Recognition System." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 619-624.
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