Bhanu, Bir
Deep Learning for Biometrics
Part I. Deep Learning for Face Biometrics
1. The Functional Neuroanatomy of Face Processing: Insights from Neuroimaging and Implications for Deep Learning
Kalanit Grill-Spector, Kendrick Kay, Kevin S. Weiner
2. Real-Time Face Identification via Multi-convolutional Neural Network and Boosted Hashing Forest
Yury Vizilter, Vladimir Gorbatsevich, Andrey Vorotnikov, Nikita Kostromov
3. CMS-RCNN: Contextual Multi-Scale Region-Based CNN for Unconstrained Face Detection
Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides
Part II. Deep Learning for Fingerprint, Fingervein and Iris Recognition
4. Latent Fingerprint Image Segmentation Using Deep Neural Network
Jude Ezeobiejesi, Bir Bhanu
5. Finger Vein Identification Using Convolutional Neural Network and Supervised Discrete Hashing
Cihui Xie, Ajay Kumar
6. Iris Segmentation Using Fully Convolutional Encoder–Decoder Networks
Ehsaneddin Jalilian, Andreas Uhl
Part III. Deep Learning for Soft Biometrics
7. Two-Stream CNNs for Gesture-Based Verification and Identification: Learning User Style
Jonathan Wu, Jiawei Chen, Prakash Ishwar, Janusz Konrad
8. 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)
Felix Juefei-Xu, Eshan Verma, Marios Savvides
9. Gender Classification from NIR Iris Images Using Deep Learning
Juan Tapia, Carlos Aravena
10. Deep Learning for Tattoo Recognition
Xing Di, Vishal M. Patel
Part IV. Deep Learning for Biometrics Security and Protection
11. Learning Representations for Cryptographic Hash Based Face Template Protection
Rohit Kumar Pandey, Yingbo Zhou, Bhargava Urala Kota, Venu Govindaraju
12. Deep Triplet Embedding Representations for Liveness Detection
Federico Pala, Bir Bhanu
Nyckelord: Computer Science, Artificial Intelligence (incl. Robotics), Biometrics, Mathematical Applications in Computer Science
- Utgivare
- Bhanu, Bir
- Kumar, Ajay
- Utgivare
- Springer
- Utgivningsår
- 2017
- Språk
- en
- Utgåva
- 1
- Serie
- Advances in Computer Vision and Pattern Recognition
- Sidantal
- 31 sidor
- Kategori
- Datateknik, Datakommunikation
- Format
- E-bok
- eISBN (PDF)
- 9783319616575
- Tryckt ISBN
- 978-3-319-61656-8