The SecuGen Hamster Pro 20 (Manufacturer Part No. HU20) is a new ultra-compact, high image quality USB fingerprint reader that is FBI Certified as meeting FIPS 201 (PIV) and FAP 20 Mobile ID requirements. Featuring a low-profile and IP65 rated dust- and water-resistant design. The SecuGen Hamster Pro 20 is built with the industry's most rugged and advanced optical sensor using patented and patent-pending fingerprint technology.
Digital Persona Fingerprint Reader Software 61
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The SecuGen Hamster Pro 20 (Part No, HU20) is a new ultra-compact,high image quality USB fingerprint reader that is FBI Certified as meeting FIPS201 (PIV) and FAP 20 Mobile ID requirements. Featuring a low-profile, one-piece design, the Hamster Pro 20 is built with the industries most rugged and advanced optical sensor using patented and patent-pending fingerprint technology.
Presentation attack detection (PAD) is an automated process for detecting and preventing PAs in a biometric system. It aims to determine if a biometric sample is bona fide (i.e., real or live) or if it is fake (i.e., artifact). These methods, also known as liveness detection methods, aim to classify a presentation as real or fake. There are numerous fingerprint PAD methods in the literature, and they can be hardware-based or software-based, depending on the technologies used to develop them. The hardware-based approaches involve adding an additional sensor to capture additional information besides the fingerprint image for the matching algorithm. A variety of physical features can be collected with additional sensors such as temperature, blood pressure, or heartbeat [8,9,10]. In general, hardware-based methods can be more accurate than software-based ones, but they are costly and complicated. Moreover, it is difficult to modify and update the hardware devices when the attacker fabricates a new type of fake fingerprint. Thus, software-based approaches have gained increasing attention.
Software-based approaches rely on image processing algorithms to analyze and extract features from the images captured by fingerprint sensors [11]. Existing software-based approaches can generally be based on handcrafted features or deep learning techniques. The earliest software-based methods proposed for liveness detection are based on handcrafted features (e.g., anatomical, physiological, or texture-based features [2]). However, the related feature-extractor methods include local binary patterns (LBPs), local phase quantization (LPQ) [12], binarized statistical image features (BSIF), and Weber local binary descriptor (WLBD). Recent solutions based on convolutional neural networks (CNNs) have been proposed to improve the detection accuracy. Compared to handcrafted-based methods, CNNs aim to learn efficient representations in an end-to-end manner.
I successfully upgraded my Pavillion 6700z CTO from Vista Home Premium 32 bit to Win 7 Home Premium 64 bit. I used the info here as my starting point. The only changes I had to make was to the fingerprint reader as my notebook uses the Authentec AES 2501a so I used the Vista 64 which worked great. Also had some glitchyness with the audio driver, would load then not load. Finally Win 7 upgraded it and all is working well.
The Digital Persona U4500 Fingerprint Reader (UID Edition) is a High Durability, elegant, powerful fingerprint identity machine. With an executive-class look and feel, the U.are.U 4500 reader is perfect for power users and shared environments. Its design is sleek and compact to conserve valuable desk space but it stays right where you put it because of its nice heft and special undercoating.Bayometric. offers a wide variety of biometric security devices such as DigitalPersona U.are.U 4500 USB Fingerprint Reader.
Software developer and system integrators can use U.are.U 4500 reader with fingerprint reader software to develop customized fingerprint matching software solutions. DigitalPersona U.are.U 4500 USB fingerprint scanner is an ideal reader for most biometric security systems.Whether you are an enterprise customer, a system integrator or a home user, U.are.U 4500 readers provide a natural extension to your security system and applications.Feature : 2ff7e9595c
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