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Biometrics in Identity Management : Concepts to Applications.
In today's digital infrastructure we have to interact with an increasing number of systems, both in the physical and virtual world. Identity management (IdM) -- the process of identifying an individual and controlling access to resources based on their associated privileges -- is becoming progr...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Norwood :
Artech House,
2011.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Modi, Shimon K. | |
| 245 | 1 | 0 | |a Biometrics in Identity Management : |b Concepts to Applications. |
| 260 | |a Norwood : |b Artech House, |c 2011. | ||
| 300 | |a 1 online resource (278 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Biometrics in Identity Management: Concepts to Applications; Contents; CHAPTER 1 Introduction; 1.1 Basics of Biometrics; 1.2 Types of Biometric Technologies; 1.3 Biometric System; 1.4 Biometric System Processes; 1.5 Biometric System Architecture; 1.6 Applications of Biometric Technologies; 1.7 Classification of Biometric Applications; 1.8 Summary; CHAPTER 2 Fundamentals of Technical Evaluations; 2.1 System Process Transactions; 2.2 Types of Errors; 2.2.1 Acquisition Errors; 2.2.2 Matching Errors; 2.3 Performance Metrics; 2.3.1 Failure to Enroll Rate (FTE); 2.3.2 Failure to Acquire Rate (FTA). | |
| 505 | 8 | |a 2.3.3 False Nonmatch Rate (FNMR)2.3.4 False Match Rate (FMR); 2.3.5 Verification Performance Metrics; 2.3.6 Identification Performance Metrics; 2.4 Type I and Type II Errors; 2.5 Performance Curves; 2.6 User-Specific Performance: Zoo Analysis; 2.7 Evaluation Testing Methodologies; 2.7.1 Technology Evaluation; 2.7.2 Scenario Evaluation; 2.7.3 Operational Evaluation; 2.8 Design of Evaluation; 2.8.1 Sample Quality; 2.9 Reporting Biometric Evaluations; 2.10 Summary; CHAPTER 3 Fingerprint Recognition; 3.1 Fingerprint Anatomy; 3.2 History; 3.3.1 Henry Classification. | |
| 505 | 8 | |a 3.2.2 Automated Fingerprint Recognition3.3 Fingerprint Presentation and Acquisition; 3.3.1 Inked Capture; 3.3.2 Latent Fingerprints; 3.3.3 Optical Sensors; 3.3.4 Solid State Capacitive Sensors; 3.3.5 RF Sensor; 3.3.6 Thermal Fingerprint Sensor; 3.3.7 Electro-Optical Sensor; 3.3.8 Multispectral Imaging Sensor; 3.3.9 Other Technologies; 3.3.10 Limitations of Acquisition Technologies; 3.3.11 Fingerprint Impressions; 3.4 Fingerprint Feature Extraction; 3.4.1 Quality Assessment; 3.5 Fingerprint Compression; 3.6 Fingerprint Feature Matching; 3.7 Classification and Indexing. | |
| 505 | 8 | |a 3.8 Synthetic Fingerprint Generation3.9 Automated Fingerprint Identification System (AFIS); 3.10 Standards; 3.11 Evaluations; 3.11.1 Fingerprint Vendor Technology Evaluation (FpVTE); 3.11.2 Minutiae Interoperability Exchange (MINEX); 3.11.3 Minutiae Template Interoperability Test (MTIT); 3.11.4 Fingerprint Verification Competition (FVC); 3.11.5 Slap Fingerprint Segmentation Evaluations; 3.12 Applications and Trends; 3.12.1 Integrated Automated Fingerprint Identification System (IAFIS); 3.12.2 Personal Identity Verification (PIV); 3.12.3 US-VISIT; 3.13 Design and Deployment Considerations. | |
| 505 | 8 | |a 3.13.1 User Interaction3.13.2 Environment Issues; 3.13.3 User Demographics; 3.13.4 Interoperability; 3.13.5 Spoofing Attacks; 3.13.6 Large-Scale Systems; 3.14 Summary; CHAPTER 4 Face Recognition; 4.1 History; 4.2 2-D Face Recognition; 4.2.1 2-D Face Image Acquisition, Detection, and Segmentation; 4.2.2 Quality Assessment; 4.2.3 2-D Face Feature Extraction and Matching; 4.2.4 Video Surveillance; 4.2.5 Beyond the Visible Spectrum; 4.3 3-D Face Recognition; 4.3.1 Face Acquisition; 4.3.2 3-D Face Modeling and Matching; 4.4 Standards; 4.5 Evaluations. | |
| 500 | |a 4.5.1 Facial Recognition Technology (FERET) Evaluations. | ||
| 520 | |a In today's digital infrastructure we have to interact with an increasing number of systems, both in the physical and virtual world. Identity management (IdM) -- the process of identifying an individual and controlling access to resources based on their associated privileges -- is becoming progressively complex. This has brought the spotlight on the importance of effective and efficient means of ascertaining an individual's identity. Biometric technologies like fingerprint recognition, face recognition, iris recognition etc. have a long history of use in law enforcement applications and are now. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Biometric identification. | |
| 650 | 0 | |a Biometric identification |x Technological innovations. | |
| 650 | 0 | |a Identification |x Data processing. | |
| 650 | 6 | |a Identification biométrique. | |
| 650 | 6 | |a Identification biométrique |x Innovations. | |
| 650 | 6 | |a Identification |x Informatique. | |
| 650 | 7 | |a Biometric identification |2 fast | |
| 758 | |i has work: |a Biometrics in identity management (Text) |1 https://id.oclc.org/worldcat/entity/E39PCXhTxQffTMGFKjHVdp3XGw |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Modi, Shimon K. |t Biometrics in Identity Management : Concepts to Applications. |d Norwood : Artech House, ©2011 |z 9781608070176 |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=829297 |z Texto completo |
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL829297 | ||
| 938 | |a YBP Library Services |b YANK |n 7306583 | ||
| 994 | |a 92 |b IZTAP | ||