Real-time face recognition system with dynamic training and enhanced multi-algorithm face recognition

Prasad, Shitala; Sawant, A.; Sinha, Saugata

doi:10.1145/1980022.1980047

Search citation statements

Order By: Relevance

Paper Sections

Select...

Capítulo 1 Introducción1

Citation Types

Supporting

Mentioning

Contrasting

Unclassified

Year Published

2014

2024

Publication Types

Select...

Other2

Article1

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Hoy en día los sistemas de reconocimiento de rostros no solo se utilizan para identificar criminales, estos sistemas sirven para más propósitos, e.g. sistemas de seguridad [35], sistemas de identificación de personas [9], localización 2 CAPÍTULO 1. INTRODUCCIÓN [3], entretenimiento (Google, Facebook), etc.…”

Section: Capítulo 1 Introducciónunclassified

Sistema no-supervisado de clasificación de rostros con técnicas basadas en CBIR

Benavides Álvarez

View full text Add to dashboard Cite

show abstract

Section: Capítulo 1 Introducciónunclassified

Sistema no-supervisado de clasificación de rostros con técnicas basadas en CBIR

Benavides Álvarez

View full text Add to dashboard Cite

show abstract

The Invisible Polyjuice Potion: an Effective Physical Adversarial Attack against Face Recognition

Wang,

Liu,

Luo

et al. 2024

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security

View full text Add to dashboard Cite

A Novel Algorithm for Human Facial Expression Recognition using Gabor Filter and Eigenvector

Dhankhar¹,

Sahu²

2014

IJCA

View full text Add to dashboard Cite

Facial Expression Recognition has always been topic of interest for research in field of human computer/machine interaction based on machine learning and image processing tools. However, the inaccuracy of such systems is always challenging. Hence to resolve this problem, a novel algorithm using Gabor Filter and Eigenvector Based Distributed Feature, is proposed in this paper. The work is enhancement of existing Face Identification by covering the challenges of Facial Expression. The approach combines face recognition along with facial expression recognition. Over the time authentication system is replaced by biometric authentication. These systems are based on some human features and behavior. The mean accuracy is improved to 93.4%. The effectiveness and stability is shown in experimental results of the algorithm.

show abstract

Real-time face recognition system with dynamic training and enhanced multi-algorithm face recognition

Cited by 3 publications

References 12 publications

Sistema no-supervisado de clasificación de rostros con técnicas basadas en CBIR

Sistema no-supervisado de clasificación de rostros con técnicas basadas en CBIR

The Invisible Polyjuice Potion: an Effective Physical Adversarial Attack against Face Recognition

A Novel Algorithm for Human Facial Expression Recognition using Gabor Filter and Eigenvector

Contact Info

Product

Resources

About