Titlebook: Biometric Authentication; International ECCV 2 Massimo Tistarelli,Josef Bigun,Anil K. Jain Conference proceedings 2002 Springer-Verlag Berl

hallow

Complex Filters Applied to Fingerprint Images Detecting Prominent Symmetry Points Used for Alignmente. As landmarks we suggest the prominent symmetry points (core-points) in the fingerprint. They are extracted from the complex orientation field estimated from the global structure of the fingerprint, i.e. the overall pattern of the ridges and valleys. Complex filters, applied to the orientation fie

新陳代謝

aggrieve

evanescent

Pseudo-entropy Similarity for Human Biometricsatural information-carrying objects. We have developed a similarity measure ., based on new notion of .. The measure exhibits several features that match experimental findings in multimedia perception. We show how the measure can be used for identification/authentication of complex biometric objects

galley

Mental Characteristics of Person as Basic Biometricsrmed an existence of a neuro-psychological mechanism concerning the appearance of certain positive/negative emotions while a person perceives a particular plan-geometrical figure. These emotions appear subconsciously, and certain types of reflexes/responses accompany them, that is, the particular fi

媒介

Detection of Frontal Faces in Video Streamsn of previous detection tracking and color for selecting interest areas. On those areas, later facial features such as eyes, nose and mouth are searched based on geometric tests, appearance verification, temporal and spatial coherence. The system makes use of very simple techniques applied in a casc

策略

Genetic Model Optimization for Hausdorff Distance-Based Face Localizationep during the design of the system is the choice of an appropriate edge model that fits for a wide range of different human faces. In this paper we present an optimization approach that creates and successively improves such a model by means of genetic algorithms. To speed up the process and to prev

不理會

Coarse to Fine Face Detection Based on Skin Color Adaptionproach starts from a coarse segmentation which provides regions of homogeneous statistical color distribution. Some regions represent parts of human skin and are selected by minimizing an error between the color distribution of each region and the output of a compression decompression neural network