Paper Info
Title
Highly accurate and fast face recognition using near infrared images
Abstract
In this paper, we present a highly accurate, realtime face recognition system for cooperative user applications. The novelties are: (1) a novel design of camera hardware, and (2) a learning based procedure for effective face and eye detection and recognition with the resulting imagery. The hardware minimizes environmental lighting and delivers face images with frontal lighting. This avoids many problems in subsequent face processing to a great extent. The face detection and recognition algorithms are based on a local feature representation. Statistical learning is applied to learn most effective features and classifiers for building face detection and recognition engines. The novel imaging system and the detection and recognition engines are integrated into a powerful face recognition system. Evaluated in real-world user scenario, a condition that is harder than a technology evaluation such as Face Recognition Vendor Tests (FRVT), the system has demonstrated excellent accuracy, speed and usability.
Year
DOI
Venue
2006
10.1007/11608288_21
ICB
Keywords
Field
DocType
eye detection,recognition engine,face image,face detection,novel imaging system,recognition algorithm,infrared image,powerful face recognition system,subsequent face processing,fast face recognition,effective face,realtime face recognition system,face recognition
Computer vision,Facial recognition system,3D single-object recognition,Object-class detection,Pattern recognition,Three-dimensional face recognition,Computer science,Image processing,Scenario,Artificial intelligence,Biometrics,Face detection
Conference
Volume
ISSN
ISBN
3832
0302-9743
3-540-31111-4
Citations 
PageRank 
References 
20
4.17
17
Authors
5
Name
Order
Citations
PageRank
Stan Z. Li18951535.26
Rufeng Chu256027.44
Meng Ao3747.24
Lun Zhang463528.46
Ran He51790108.39