Andere Kunden interessierten sich auch für
![Mining Faintly Labeled Web Facial Images By Using Face Annotation]( "Mining Faintly Labeled Web Facial Images By Using Face Annotation")
Mining Faintly Labeled Web Facial Images By Using Face Annotation36,99 €![Digital Watermarking for Images using Discrete Slantlet Transform]( "Digital Watermarking for Images using Discrete Slantlet Transform")
Digital Watermarking for Images using Discrete Slantlet Transform36,99 €![Digital Watermarking and Data Hiding for Images]( "Digital Watermarking and Data Hiding for Images")
Digital Watermarking and Data Hiding for Images31,99 €![Real-Time Anomaly Detection Over Massive Data Streams]( "Real-Time Anomaly Detection Over Massive Data Streams")
Real-Time Anomaly Detection Over Massive Data Streams24,99 €![Projected Outlier Detection For High-dimensional Data Streams]( "Projected Outlier Detection For High-dimensional Data Streams")
Projected Outlier Detection For High-dimensional Data Streams36,99 €![Notch based Face Detection and Facial Feature Localization]( "Notch based Face Detection and Facial Feature Localization")
Notch based Face Detection and Facial Feature Localization32,99 €![Facial Recognition and Image Cryptography on Database]( "Facial Recognition and Image Cryptography on Database")
Facial Recognition and Image Cryptography on Database36,99 €
Facial captures are widely used in many access control applications to authenticate individuals, and grant access to protected information and locations. For instance, in passport or smart card applications, many facial images must be secured during the enrollment process, prior to exchange and storage. Digital watermarking may be used to assure integrity and authenticity of these facial images against unauthorized manipulations, through fragile and robust water marking, respectively. It can also combine other biometric traits to be embedded as invisible watermarks in these facial captures to improve individual verification. Evolutionary Computation (EC) techniques have been proposed to optimize watermark embedding parameters in Intelligent Watermarking (IW) literature. The goal of such optimization problem is to find the trade-off between conflicting objectives of watermark quality and robustness. Securing streams of high-resolution biometric facial captures results in a large number of optimization problems of high dimension search space.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.