Biometric Authentication International Eccv (11 results)

Paperback. Condition: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Face Recognition.- Face Recognition Based on Locally Salient ICA Information.- Pose Invariant Face Recognition Under Arbitrary Unknown Lighting Using Spherical Harmonics.- Biometric Face Authentication Using Pixel-Based Weak Classifiers.- Null Space Approach of Fisher Discriminant Analysis for Face Recognition.- Statistical Learning of Evaluation Function for ASM/AAM Image Alignment.- Towards a Robust Face Detector.- Automatic Detection of the Optimal Acceptance Threshold in a Face Verification System.- Fingerprint Recognition.- Registration and Modeling of Elastic Deformations of Fingerprints.- Benchmarking of Fingerprint Sensors.- Detecting Liveness in Fingerprint Scanners Using Wavelets: Results of the Test Dataset.- Fingerprint Distortion Measurement.- Study of the Distinctiveness of Level 2 and Level 3 Features in Fragmentary Fingerprint Comparison.- Biometric Sensor Interoperability: A Case Study in Fingerprints.- Efficient Fingerprint Image Enhancement for Mobile Embedded Systems.- Template Protection and Security.- Capacity and Examples of Template-Protecting Biometric Authentication Systems.- Toward Ubiquitous Acceptance of Biometric Authentication: Template Protection Techniques.- Approximate Confidence Intervals for Estimation of Matching Error Rates of Biometric Identification Devices.- Architectures for Biometric Match-on-Token Solutions.- A Secure Protocol for Data Hiding in Compressed Fingerprint Images.- Other Biometrics.- Palmprint Authentication System for Civil Applications.- Writer Identification Using Finger-Bend in Writing Signature.- 3D Finger Biometrics.- Eye Movements in Biometrics.- Integrating Faces, Fingerprints, and Soft Biometric Traits for User Recognition.- Robust Encoding of Local Ordinal Measures: A General Framework of Iris Recognition.- A Novel Digitizing Pen for the Analysis of Pen Pressure and Inclination in Handwriting Biometrics.- An Off-line Signature Verification System Based on Fusion of Local and Global Information.- Fusion and Multimodal Biometrics.- Fingerprint Verification by Decision-Level Fusion of Optical and Capacitive Sensors.- Fusion of HMM's Likelihood and Viterbi Path for On-line Signature Verification.- A New Approach on Multimodal Biometrics Based on Combining Neural Networks Using AdaBoost.…

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Biometric authentication refers to identifying an individual based on his or her distinguishing physiological and/or behavioral characteristics. It associates an individual with a previously determined identity based on that individual s appearance or behavior. Because many physiological or behavioral characteristics (biometric indicators) are distinctive to each person, biometric identifiers are inherently more reliable and more capable than knowledge-based (e.g., password) and token-based (e.g., a key) techniques in differentiating between an authorized person and a fraudulent impostor. For this reason, more and more organizations are looking to automated identity authentication systems to improve customer satisfaction, security, and operating efficiency as well as to save critical resources. Biometric authentication is a challenging pattern recognition problem; it involves more than just template matching. The intrinsic nature of biometric data must be carefully studied, analyzed, and its properties taken into account in developing suitable representation and matching algorithms. The intrinsic variability of data with time and environmental conditions, the social acceptability and invasiveness of acquisition devices, and the facility with which the data can be counterfeited must be considered in the choice of a biometric indicator for a given application. In order to deploy a biometric authentication system, one must consider its reliability, accuracy, applicability, and efficiency. Eventually, it may be necessary to combine several biometric indicators (multimodal-biometrics) to cope with the drawbacks of the individual biometric indicators.…

Condition: Gut. Zustand: Gut | Seiten: 364 | Sprache: Englisch | Produktart: Bücher | biometric indicators like eye movement, 3D ?nger shape, and soft traits (e. g.

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