Deep Learning for Biometrics
Topics and features: Addresses the application of deep learning to enhance the performance of biometrics identification across a wide range of different biometrics modalities Revisits deep learning for face biometrics, offering insights from neuroimaging, and provides comparison with popular CNN-bas...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2017, 2017
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| Edition: | 1st ed. 2017 |
| Series: | Advances in Computer Vision and Pattern Recognition
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Part I: Deep Learning for Face Biometrics
- The Functional Neuroanatomy of Face Processing: Insights from Neuroimaging and Implications for Deep Learning
- Real-Time Face Identification via Multi-Convolutional Neural Network and Boosted Hashing Forest
- CMS-RCNN: Contextual Multi-Scale Region-Based CNN for Unconstrained Face Detection
- Part II: Deep Learning for Fingerprint, Fingervein and Iris Recognition
- Latent Fingerprint Image Segmentation Using Deep Neural Networks
- Finger Vein Identification Using Convolutional Neural Network and Supervised Discrete Hashing
- Iris Segmentation Using Fully Convolutional Encoder-Decoder Networks
- Part III: Deep Learning for Soft Biometrics
- Two-Stream CNNs for Gesture-Based Verification and Identification: Learning User Style
- DeepGender2: 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)
- Gender Classification from NIR Iris Images Using Deep Learning
- Deep Learning for Tattoo Recognition
- Part IV: Deep Learning for Biometric Security and Protection
- Learning Representations for Cryptographic Hash Based Face Template Protection
- Deep Triplet Embedding Representations for Liveness Detection