Abstract. We present a novel approach for human gait recognition that inherently combines appearance and motion. Dynamic texture descriptors, Local Binary Patterns from Three Ortho...
Vili Kellokumpu, Guoying Zhao, Stan Z. Li, Matti P...
Abstract. We explore the effects of time lapse on iris biometrics using a data set of images with four years time lapse between the earliest and most recent images of an iris (13 s...
This paper describes the objectives, the tasks proposed to the participants and the associated protocols in terms of database and assessment tools of two present competitions on fi...
We present generative models dedicated to face recognition. Our models consider data extracted from color face images and use Bayesian Networks to model relationships between diffe...
Face recognition with partial face images is an important problem in face biometrics. The necessity can arise in not so constrained environments such as in surveillance video, or p...
Biometric authentication over public networks leads to a variety of privacy issues that needs to be addressed before it can become popular. The primary concerns are that the biomet...
Maneesh Upmanyu, Anoop M. Namboodiri, K. Srinathan...
Abstract. Cryptographic transactions form the basis of many common security systems found throughout computer networks. Supporting these transactions with biometrics is very desira...
Stemming from a sound mathematical framework dating back to the beginning of the 20th century, this paper introduces a novel approach for 3D face recognition. The proposed techniqu...
We propose a benchmarking technique that is combined with customer's cognitive structures. Customer's cognitive structures are determined using a multi-dimensional scali...
Cheul Rhee, Junghoon Moon, G. Lawrence Sanders, Yo...