Human recognition in unconstrained environments : using computer vision, pattern recognition and machine learning methods for biometrics /: using computer vision, pattern recognition and machine learning methods for biometrics. (2017)

• Record Type: Book
• Further Information: Note: Edited by Maria De Marsico, Michele Nappi, Hugo Pedro Proença.
• Editors: De Marsico, Maria; Nappi, Michele; Proença, Hugo
• Contents: Chapter 1. Iris Recognition on Mobile Devices Using Near-Infrared Images Chapter 2. Face recognition using dictionary learning and domain adaptation Chapter 3. Periocular Recognition in Non-ideal Images Chapter 4. Real Time 3D Face-Ear Recognition on Mobile Devices: New Scenarios for 3D Biometricks “in-the-Wild” Chapter 5. Fingerphoto Recognition in Outdoor Environment using Smartphones Chapter 6. Soft biometric labels in the wild. Case study on gender classification Chapter 7. Unconstrained data acquisition frameworks and protocols Chapter 8. Biometric Authentication to Access Controlled Areas through Eye Tracking Chapter 9. Non-cooperative biometrics: Cross-Jurisdictional concerns Chapter 10. Pattern Recognition and Machine Learning Methods for assessing the quality of fingerprints
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2017
• Extent: 1 online resource
• Subjects: 006.248; Biometric identification; Computer vision; Pattern recognition systems
• Languages: English
• ISBNs: 9780081007129
• Related ISBNs: 9780081007051
• Notes: Note: Description based on CIP data; item not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.