#SDK DIGITALPERSONA 4500 UBUNTU MAC OS#
#SDK DIGITALPERSONA 4500 UBUNTU SOFTWARE#

The SDK allows the development of biometric applications for Microsoft Windows, Linux, Mac OS X, iOS and Android operating systems.

#SDK DIGITALPERSONA 4500 UBUNTU SOFTWARE#

It includes Fingerprint Matcher and Extractor component licenses, programming samples and tutorials, fingerprint scanner support modules and software documentation. VeriFinger 10.0 Standard SDKis designed for PC-based, embedded and mobile biometric application development.The following VeriFinger 10.0 SDKs are available: Integrators can also write plug-ins to support their fingerprint readersВ or other devices using the plug-in framework provided with the Device Manager. VeriFinger SDK includes the Device Manager library for working with theВ supported fingerprint readers.

The integrator has complete control over SDK data input and output.

VeriFinger can be easily integrated into the customerвЂ™s security system. The SDK allows rapid development of biometric applications using functionality from the VeriFinger algorithm for Microsoft Windows, Linux, Mac OS X, iOS and Android. VeriFinger SDK is based onВ VeriFinger fingerprint recognition technologyВ and is intended for biometric systems developers and integrators. VeriFinger 10.0 includes algorithm modes that help to achieve better results for theВ supported fingerprint scanners. Scanner-Specific Algorithm Optimizations.Combined with unlimited database size, this capability allows to optimize target system size and performance. VeriFinger allows to configure the number and size of fingerprint features in a fingerprint template. This way, the enrolled features are more reliable and the fingerprint recognition quality considerably increases. Then the features collection set is analyzed and combined into a single generalized features collection, which is written to the database. Each fingerprint image is processed and features are extracted. This fingerprint enrollment mode generates the collection of generalized fingerprint features from a set of fingerprints of the same finger. This algorithm eliminates noises, ridge ruptures and stuck ridges for reliable minutiae extraction вЂ“ even from poor quality fingerprints вЂ“ with a processing time of 0.6 seconds.В AВ screenshotВ of the VeriFinger demo application shows an initial flat fingerprint image (left window), and the same image after the noise filtering and processing by VeriFinger (right window), with minutiae positions and directions marked by red circles and lines. VeriFinger is able to ensure that only the best quality fingerprint template will be stored into database by using fingerprint image quality determination during enrollment. VeriFinger functions can be used in 1-to-1 matching (verification), as well as 1-to-manyВ mode (identification). VeriFingerвЂ™s proprietary fingerprint template matching algorithm is able to identify fingerprints even if they are rotated, translated, deformed and have only 5 вЂ“ 7 similar minutiae (usually fingerprints of the same finger have 20 вЂ“ 40 similar minutiae) and matches up to 40,000 flat fingerprints per second (see technical specificationsВ for more details). Tolerance to Fingerprint Translation, Rotation and Deformation.Conventional вЂњflatвЂќ fingerprint identification algorithms usually perform matching between flat and rolled fingerprints less reliably due to the mentioned deformations of rolled fingerprints. Rolled fingerprints have much bigger deformation due to the specific scanning technique (rolling from nail to nail) than those scanned using the вЂњflatвЂќ technique. The VeriFinger algorithm matches flat-to-rolled, flat-to-flat or rolled-to-rolled fingerprints with a high degree of reliability and accuracy, as it is tolerant to fingerprint deformations. The VeriFinger algorithm follows the commonly accepted fingerprint identification scheme, which uses a set of specific fingerprint points (minutiae) along with a number of proprietary algorithmic solutions that enhance system performance and reliability. NumerousВ awardsВ in competitions and technology evaluations, including FVC and FpVTE, have been received by VeriFinger. Neurotechnology has released more than 10 major and minor versions of the VeriFinger, providing most powerful fingerprint recognition algorithms to date. The technology assures system performance with fast, reliable fingerprint matching in 1-to-1 and 1-to-many modes.ДЄvailable as a software development kit that allows development of stand-alone and Web-based solutions on Microsoft Windows, Linux, Mac OS X, iOS and Android platforms VeriFinger is a fingerprint identification technology designed for biometric systems developers and integrators.

Sdk digitalpersona 4500 ubuntu