A Real-Time Matching System for Large Fingerprint Databases
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Coding, Analysis, Interpretation, and Recognition of Facial Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integrating Faces and Fingerprints for Personal Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Information fusion in biometrics
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Communications of the ACM - Multimodal interfaces that flex, adapt, and persist
On the Use of SIFT Features for Face Authentication
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
The BANCA database and evaluation protocol
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Filterbank-based fingerprint matching
IEEE Transactions on Image Processing
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The advances in computer and communication technologies increased both the number of users and the amount of data shared over the Network. Many times the amount of complex and articulated information available makes it difficult to retrieve what is really required for a given task. For these reasons, the efficient, easy and trustworthy transfer of data is now of paramount importance in many everyday scenarios, especially concerning environments and situations where security and data protection are mandatory. On the other hand, data protection often implies the adoption of security means which create virtual (and sometimes even physical) barriers to data retrieval. In this paper, advanced identification technologies, based on the processing of biometric data, are presented. These techniques provide a number of tools to facilitate the seamless human interaction with the data, and the security barriers, by enabling the environment to recognize and learn from the user, shaping the data available on the basis of his/her identity. The presented techniques are based on the extraction of invariant features from face and fingerprint images to process static biometric features, also allowing the enhancement of identification accuracy by data fusion.