3D face recognition based on symbolic FDA using SVM classifier with similarity and dissimilarity distance measure
- Title
- 3D face recognition based on symbolic FDA using SVM classifier with similarity and dissimilarity distance measure
- Creator
- Hiremath M.; Hiremath P.S.
- Description
- Human face images are the basis not only for person recognition, but for also identifying other attributes like gender, age, ethnicity, and emotional states of a person. Therefore, face is an important biometric identifier in the law enforcement and human-computer interaction (HCI) systems. The 3D human face recognition is emerging as a significant biometric technology. Research interest into 3D face recognition has increased during recent years due to availability of improved 3D acquisition devices and processing algorithms. A 3D face image is represented by 3D meshes or range images which contain depth information. In this paper, the objective is to propose a new 3D face recognition method based on radon transform and symbolic factorial discriminant analysis using KNN and SVM classifier with similarity and dissimilarity measures, which are applied on 3D facial range images. The experimentation is done using three publicly available databases, namely, Bhosphorus, Texas and CASIA 3D face database. The experimental results demonstrate the effectiveness of the proposed method. 2017 World Scientific Publishing Company.
- Source
- International Journal of Pattern Recognition and Artificial Intelligence, Vol-31, No. 4
- Date
- 2017-01-01
- Publisher
- World Scientific Publishing Co. Pte Ltd
- Subject
- dissimilarity measure; factorial discriminant analysis; KNN; Radon transform; similarity measure; SVM
- Coverage
- Hiremath M., Department of Computer Science, Christ University, Bangalore, Karnataka, 560029, India; Hiremath P.S., Department of Computer Science (MCA), KLE Technological University, BVBCET, Hubli, Karnataka, 580031, India
- Rights
- Restricted Access
- Relation
- ISSN: 2180014; CODEN: IJPIE
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Hiremath M.; Hiremath P.S., “3D face recognition based on symbolic FDA using SVM classifier with similarity and dissimilarity distance measure,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/17112.