Titlebook: Signal and Image Processing for Biometrics; Jacob Scharcanski,Hugo Proença,Eliza Du Book 2014 Springer-Verlag Berlin Heidelberg 2014 Biome

臆断

Unconstrained Ear Processing: What is Possible and What Must Be Done,re play a controversial role. On the positive side, they allow faster processing than, say, face recognition, as well as less complex recognition strategies than, say, fingerprints. On the negative side, the small ear area itself makes recognition systems especially sensitive to occlusions. Moreover

Commonwealth

Feature Quality-Based Unconstrained Eye Recognition,recognition has been shown to achieve reasonable recognition accuracy under visible wavelengths. Iris recognition has been tested to be one of the most accurate biometrics near infrared images. However, it does not work well under visible wavelength illumination. Combining iris and sclera recognitio

employor

Speed-Invariant Gait Recognition,r walking speed, kinematic features (e.g., stride and joint angle) are changed while static features (e.g., thigh and shin lengths) are preserved. Based on the fact, firstly, static and kinematic features are decoupled from a gait silhouette sequence by fitting a human model. Secondly, a factorizati

Intend

Quality Induced Multiclassifier Fingerprint Verification Using Extended Feature Set, for verification. With the availability of high resolution fingerprint sensors, it is now feasible to capture more intricate features such as ridges, pores, permanent scars, and incipient ridges. These fine details are characterized as level-3 or extended features and play an important role in matc

fidelity

GRACE

Human Tracking in Non-cooperative Scenarios,ern biometric authentication systems. Special attention is paid to vision system construction and its design fundamentals. Next the existing image segmentation methods are presented with emphasis on procedures suitable for image pre-segmentation during the acquisition process. The chapter ends with

Biguanides

Data and Information Dimensionality in Non-cooperative Face Recognition,robabilistic manifolds, or approximations when the analytic geodesic distance solutions are not known. Also, we discuss some of the representative manifold based methods applied to face recognition, and point out future research directions.

DOLT

Book 2014is focused on the emerging strategies to perform biometric recognition under uncontrolled data acquisition conditions. The mainstream research work in this field is presented in an organized manner, so the reader can easily follow the trends that best suits her/his interests in this growing field. T

Salivary-Gland

生锈

Speed-Invariant Gait Recognition,s are insufficient to achieve a high recognition performance, we therefore finally synthesize a gait silhouette sequence by combining the preserved static features and the transformed kinematic features for matching. Experiments with the OU-ISIR Gait Database show the effectiveness of the proposed method.