| Judul | Advanced Biometrics with Deep Learning / Andrew Teoh Beng, Jin Lu Leng |
| Pengarang | Jin, Andrew Teoh Beng Lu, Leng |
| Penerbitan | Basel : MPDI, 2020 |
| Deskripsi Fisik | 212p. :ill. |
| ISBN | N 978-3-03936-699- |
| Subjek | BIOMETRICS |
| Catatan | Biometrics, such as fingerprint, iris, face, hand print, hand vein, speech and gait recognition, etc., as a means of identity management have become commonplace nowadays for various applications. Biometric systems follow a typical pipeline, that is composed of separate preprocessing, feature extraction and classification. Deep learning as a data-driven representation learning approach has been shown to be a promising alternative to conventional data-agnostic and handcrafted pre-processing and feature extraction for biometric systems. Furthermore, deep learning offers an end-to-end learning paradigm to unify preprocessing, feature extraction, and recognition, based solely on biometric data. This Special Issue has collected 12 high-quality, state-of-the-art research papers that deal with challenging issues in advanced biometric systems based on deep learning. The 12 papers can be divided into 4 categories according to biometric modality; namely, face biometrics, medical electronic signals (EEG and ECG), voice p |
| Bentuk Karya | Tidak ada kode yang sesuai |
| Target Pembaca | Tidak ada kode yang sesuai |
| Lokasi Akses Online |
https://oer.unair.ac.id/files/original/521a710ab5a69cadaaa8afb96d9bdf27.pdf |
| No Barcode | No. Panggil | Akses | Lokasi | Ketersediaan |
|---|---|---|---|---|
| 047125192 | 570.151 95 Jin a | Baca Online | Perpustakaan Pusat - Online Resources Ebook |
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