Advanced Biometrics with Deep Learning okumak kayıt olmadan

Advanced Biometrics with Deep Learning

Ders Kitapları

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 print, and others.

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18,9 x 0,5 x 24,6 cm 1 Ocak 2017 18,9 x 0,4 x 24,6 cm 15 x 0,5 x 22 cm 28 Ekim 2011 ERWIN N GRISWOLD 30 Ekim 2011 10 Ağustos 2020 Additional Contributors 3 Ocak 2017 Mdpi AG 28 Şubat 2018 ROBERT H BORK WADE H MCCREE 18,9 x 0,2 x 24,6 cm 18,9 x 0,6 x 24,6 cm 18,9 x 0,3 x 24,6 cm Kolektif

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okumak okumak kayıt olmadan