Design and Implementation of Machine Learning-Based Hybrid Model for Face Recognition System
- Title
- Design and Implementation of Machine Learning-Based Hybrid Model for Face Recognition System
- Creator
- Poonia R.C.; Samanta D.; Prabu P.
- Description
- Face recognition technologies must be able to recognize users faces in a chaotic environment. Facial detection is a different issue from facial recognition in that it requires reporting the position and size of every face in an image, whereas facial recognition does not allow for this. Due to their general similarity in look, the photographs of the same face have several alterations, which makes it a challenging challenge to solve. Face recognition is an extremely challenging process to do in an uncontrolled environment because the lighting, perspective, and quality of the image to be identified all have a significant impact on the process's output. The paper proposed a hybrid model for the face recognition using machine learning. Their performance is calculated on the basis of value derived for the FAR, FRR, TSR, ERR. At the same time their performance is compared with some existing machine learning model. It was found that the proposed hybrid model achieved the accuracy of almost 98%. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
- Source
- Smart Innovation, Systems and Technologies, Vol-324, pp. 59-68.
- Date
- 2023-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- ERR; Face recognition; FAR; FRR; Machine learning; TSR
- Coverage
- Poonia R.C., CHRIST (Deemed to be University), Bangalore, India; Samanta D., RIT Kosovo (A.U.K), Rochester Institute of TechnologyRIT Global, Dr. Shpetim Rrobaj, Germia Campus, Prishtina, 10000; Prabu P., CHRIST (Deemed to be University), Bangalore, India
- Rights
- Restricted Access
- Relation
- ISSN: 21903018; ISBN: 978-981197446-5
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Poonia R.C.; Samanta D.; Prabu P., “Design and Implementation of Machine Learning-Based Hybrid Model for Face Recognition System,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/19989.