TY - BOOK ID - 5332986 TI - Handbook of fingerprint recognition PY - 2003 SN - 1280188529 9786610188529 0387215875 0387954317 PB - New York : Springer, DB - UniCat KW - Electronic books. -- local. KW - Fingerprints -- Classification. KW - Fingerprints -- Identification. KW - Fingerprints KW - Engineering & Applied Sciences KW - Mechanical Engineering KW - Social Welfare & Social Work KW - Social Sciences KW - Computer Science KW - Mechanical Engineering - General KW - Criminology, Penology & Juvenile Delinquency KW - Identification KW - Classification KW - Empreintes digitales KW - EPUB-LIV-FT SPRINGER-B KW - Computer science. KW - Biotechnology. KW - Computer security. KW - Artificial intelligence. KW - Computer graphics. KW - Image processing. KW - Pattern recognition. KW - Computer Science. KW - Systems and Data Security. KW - Pattern Recognition. KW - Artificial Intelligence (incl. Robotics). KW - Computer Graphics. KW - Image Processing and Computer Vision. KW - Optical pattern recognition. KW - Computer vision. KW - Artificial Intelligence. KW - Optical data processing. KW - Chemical engineering KW - Genetic engineering KW - Optical computing KW - Visual data processing KW - Bionics KW - Electronic data processing KW - Integrated optics KW - Photonics KW - Computers KW - Automatic drafting KW - Graphic data processing KW - Graphics, Computer KW - Computer art KW - Graphic arts KW - Engineering graphics KW - Image processing KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Cognitive science KW - Digital computer simulation KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Design perception KW - Pattern recognition KW - Form perception KW - Perception KW - Figure-ground perception KW - Computer privacy KW - Computer system security KW - Computer systems KW - Cyber security KW - Cybersecurity KW - Electronic digital computers KW - Protection of computer systems KW - Security of computer systems KW - Data protection KW - Security systems KW - Hacking KW - Optical equipment KW - Digital techniques KW - Protection KW - Security measures UR - https://www.unicat.be/uniCat?func=search&query=sysid:5332986 AB - 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. ER -