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Overview Biometric recognition refers to the use of distinctive physiological and behavioral character- tics (e. g. , fingerprints, face, hang geometry, iris, gait, signature), called biometric identifiers or simply biometrics, for automatically recognizing a person. Questions such as “Is this person authorized to enter the facility?”, “Is this individual entitled to access the privileged infor- tion?”, and “Did this person previously apply for a job?” are routinely asked in a variety of organizations in both public and private sectors. Because biometric identifiers cannot be easily misplaced, forged, or shared, they are considered more reliable for person recognition than traditional token- (e. g. , keys) or knowledge- (e. g. , password) based methods. Biometric recognition can provide better security, higher efficiency, and increased user convenience. It is for these reasons that biometric systems are being either increasingly deployed or evaluated in a large number of government (e. g. , welfare disbursement, national ID card, issuing of driver’s license) and civilian (e. g. , computer network logon, automatic teller machine, cellular phone, Web access, smartcard) applications. A number of biometric technologies have been developed and several of them are being used in a variety of applications. Among these, fingerprints, face, iris, speech, and hand - ometry are the ones that are most commonly used. Each biometric has its strengths and we- nesses and the choice of a particular biometric typically depends on the requirements of an application.

Electronic books. -- local. --- Fingerprints -- Classification. --- Fingerprints -- Identification. --- Fingerprints --- Engineering & Applied Sciences --- Mechanical Engineering --- Social Welfare & Social Work --- Social Sciences --- Computer Science --- Mechanical Engineering - General --- Criminology, Penology & Juvenile Delinquency --- Identification --- Classification --- Empreintes digitales --- EPUB-LIV-FT SPRINGER-B --- Computer science. --- Biotechnology. --- Computer security. --- Artificial intelligence. --- Computer graphics. --- Image processing. --- Pattern recognition. --- Computer Science. --- Systems and Data Security. --- Pattern Recognition. --- Artificial Intelligence (incl. Robotics). --- Computer Graphics. --- Image Processing and Computer Vision. --- Optical pattern recognition. --- Computer vision. --- Artificial Intelligence. --- Optical data processing. --- Chemical engineering --- Genetic engineering --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Engineering graphics --- Image processing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Computer privacy --- Computer system security --- Computer systems --- Cyber security --- Cybersecurity --- Electronic digital computers --- Protection of computer systems --- Security of computer systems --- Data protection --- Security systems --- Hacking --- Optical equipment --- Digital techniques --- Protection --- Security measures