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Titlebook: Handbook of Fingerprint Recognition; Davide Maltoni,Dario Maio,Salil Prabhakar Book 20031st edition Springer Science+Business Media New Yo

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發(fā)表于 2025-3-21 17:01:23 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Handbook of Fingerprint Recognition
編輯Davide Maltoni,Dario Maio,Salil Prabhakar
視頻videohttp://file.papertrans.cn/422/421325/421325.mp4
叢書名稱Springer Professional Computing
圖書封面Titlebook: Handbook of Fingerprint Recognition;  Davide Maltoni,Dario Maio,Salil Prabhakar Book 20031st edition Springer Science+Business Media New Yo
描述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.
出版日期Book 20031st edition
關(guān)鍵詞algorithms; biometrics; classification; fingerprint; fingerprint matching; fingerprint recognition; finger
版次1
doihttps://doi.org/10.1007/b97303
isbn_ebook978-0-387-21587-7
copyrightSpringer Science+Business Media New York 2003
The information of publication is updating

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發(fā)表于 2025-3-21 21:53:53 | 只看該作者
Book 20031st editiontric 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.
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發(fā)表于 2025-3-22 01:11:26 | 只看該作者
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. 978-0-387-21587-7
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發(fā)表于 2025-3-22 07:09:32 | 只看該作者
https://doi.org/10.1007/978-3-658-03175-6 manual intervention is possible to correct feature extraction errors: this allows us to design indexing/retrieval mechanisms that achieve a relatively small retrieval error and a good penetration rate. On the other hand, the identification task in a completely automatic system, working with live-sc
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Springer Science+Business Media New York 2003
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https://doi.org/10.1007/978-3-658-03175-6osed and it is now possible to design classification systems that are able to meet the FBI requirement of 99% accuracy with a maximum rejection of 20%. However, it is unlikely that exclusive classification would make it possible to significantly reduce the effort of searching for a single fingerprin
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