{"product_id":"advanced-biometrics-with-deep-learning-9783039366989","title":"Advanced Biometrics with Deep Learning","description":"\u003cp\u003eBiometrics, 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.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Mdpi AG\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 08\/10\/2020\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9783039366989\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 210\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.44lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.61h x 6.69w x 0.69d","brand":"Andrew Teoh Beng Jin","offers":[{"title":"Default Title","offer_id":36675203727516,"sku":"9783039366989","price":54.32,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0473\/0804\/6492\/products\/img_55258172-a759-40a1-a45c-9ee793465389.jpg?v=1603933592","url":"https:\/\/pastforward.org\/products\/advanced-biometrics-with-deep-learning-9783039366989","provider":"Past Forward","version":"1.0","type":"link"}