Face recognition system for uncontrolled environment
Sharmila Kumari M
, Harshika K , Khatheeja Mishal , Fathimath Shaharvan , Maya P
Pattern Recognition, Local Binary Pattern, Feature Extraction, Histogram, Face Recognition, Local Ternary Pattern.
Biometrics is a technique for identifying and authenticating a person based on a set of recognized and verifiable data that is unique and distinctive to that person. As a result, it recognizes the individual based on both global and local characteristics. Because many identity methods, such as password/PIN systems and token systems, have problems with counterfeiting, theft, and lapses in human memory, biometric identification systems have been developed as a response. The identifying mechanism in these biometric identification systems is based on physiological features. For recognition, the Principle Component Analysis (PCA) and Linear Discriminant Analysis (LDA) algorithms use global features and Elastic Bunch Graph Matching (EBGM) recognizes images based on a similarity function between the given images and the graph that has been generated. In the Local Binary Pattern (LBP) approach, the image of the face is first split into smaller components, from which LBP retrieved features are fused into a feature space histogram that effectively describes the facial image. Face recognition will face issues such as facial variation, illumination from a range of light sources, image aging, occlusion, and so on. In order to solve most of the issues, a new method using the LBP Contrast Adjustment, Bilateral Filter, and Histogram Equalization were proposed as part of the algorithm. Experiments are carried out on both standard and real data sets to show that the suggested technique outperforms previously proposed algorithms.
"Face recognition system for uncontrolled environment", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 11, page no.61 - 66, November-2021, Available :https://ijsdr.org/papers/IJSDR2111013.pdf
Volume 6
Issue 11,
November-2021
Pages : 61 - 66
Paper Reg. ID: IJSDR_193702
Published Paper Id: IJSDR2111013
Downloads: 000347034
Research Area: Engineering
Country: Mangalore, DK, Karnataka, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
