Deep learning for biometrics. ([2017])

• Record Type: Book
• Further Information: Note: Bir Bhanu, Ajay Kumar, editors.
• Editors: Bhanu, Bir; Kumar, Ajay
• Contents: Part I: Deep Learning for Face BiometricsThe Functional Neuroanatomy of Face Processing: Insights from Neuroimaging and Implications for Deep LearningKalanit Grill-Spector, Kendrick Kay and Kevin S. WeinerReal-Time Face Identification via Multi-Convolutional Neural Network and Boosted Hashing ForestYuri Vizilter, Vladimir Gorbatsevich, Andrey Vorotnikov and Nikita KostromovCMS-RCNN: Contextual Multi-Scale Region-Based CNN for Unconstrained Face DetectionChenchen Zhu, Yutong Zheng, Khoa Luu and Marios SavvidesPart II: Deep Learning for Fingerprint, Fingervein and Iris RecognitionLatent Fingerprint Image Segmentation Using Deep Neural NetworksJude Ezeobiejesi and Bir BhanuFinger Vein Identification Using Convolutional Neural Network and Supervised Discrete HashingCihui Xie and Ajay KumarIris Segmentation Using Fully Convolutional Encoder-Decoder NetworksEhsaneddin Jalilian and Andreas UhlPart III: Deep Learning for Soft BiometricsTwo-Stream CNNs for Gesture-Based Verification and Identification: Learning User StyleJonathan Wu, Jiawei Chen, Prakash Ishwar and Janusz KonradDeepGender2: A Generative Approach Toward Occlusion and Low Resolution Robust Facial Gender Classification via Progressively Trained Attention Shift Convolutional Neural Networks (PTAS-CNN) and Deep Convolutional Generative Adversarial Networks (DCGAN)Felix Juefei-Xu, Eshan Verma and Marios SavvidesGender Classification from NIR Iris Images Using Deep LearningJuan Tapia and Carlos AravenaDeep Learning for Tattoo RecognitionXing Di and Vishal M. PatelPart IV: Deep Learning for Biometric Security and ProtectionLearning Representations for Cryptographic Hash Based Face Template ProtectionRohit Kumar Pandey, Yingbo Zhou, Bhargava Urala Kota and Venu GovindarajuDeep Triplet Embedding Representations for Liveness DetectionFederico Pala and Bir Bhanu.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2017
• Copyright Date: 2017
• Extent: 1 online resource, illustrations
• Subjects: 006.2/48; Biometric identification; Machine learning; Biometric identification; Machine learning; Electronic books
• Languages: English
• ISBNs: 9783319616575; 3319616579
• Related ISBNs: 9783319616568; 3319616560
• Notes: Note: Includes bibliographical references and index.
• 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.