GrFinger Fingerprint SDK is a groundbreaking fingerprint recognition Software Development Kit (SDK) that helps you integrate biometrics into a wide variety of applications.Thanks to its support for dozens of programming languages, richness of code samples, and its thorough documentation, you will start developing your application in a matter of hours!
GrFinger is provided in two different releases. GrFinger 4.2 Windows supports many Windows programming languages through either DLL or ActiveX (COM). GrFinger Java 4.5 allows development of cross-plataform Java programs that will run either in Microsoft Windows or Gnu/Linux.
Here are some key features of “GrFinger Java SDK”:
· Multiple fingerprint reader support: usually, the fingerprint libraries provided by the manufacturers only support their own device. GrFinger’s support for multiple fingerprint readers allows you to choose the more suitable reader, and even after application development or deployment, makes you able to change the fingerprint reader you are using, without modifying your code!
· Driver-less Microsoft Fingerprint reader and Digital Persona support: you don’t need the manufacturer’s driver or SDK (API). Our SDK comes with its own driver for these readers.
· Multiple programming language support: almost all the fingerprint recognition libraries provides as its only interface a cumbersome DLL, where you need to create import files for the language you are using, among other obstacles. GrFinger 4.2 for Microsoft Windows supports multiple programming languages including Java, Delphi, Visual Basic, C++, .NET, FoxPro and many others. Under Microsoft Windows, both ActiveX and DLL components are available to use.
Using GrFinger Java 4.5 you have a Jar component with a easy-to-use set of Java classes.
· With our programming samples, the integration will be amazingly easy. Everything needed to develop in the supported languages is part of the SDK! No additional fee, or licensing needed!
· Support for internet: you can use GrFinger Fingerprint Recognition Library inside a Java applet and create an cross-plataform application for the web!
· Sample code provided in several languages: the fingerprint recognition library comes packed with lots of really detailed programming samples (along with their source code), in a variety of programming languages. These can be used, almost with no change, as the basis to your development.
· International quality assurance: we were successfully tested among the world’s best fingerprint recognition systems, on a test held by NIST in 2003.
· Outstanding fingerprint matching speed: with a blazing fast matching speed up to 35,000 fingerprints per second, it will be more than adequate for most demanding applications.
· One-to-many fingerprint identification: most solutions offer only one-to-one verification or one-to-little. Using GrFinger you have unlimited one-to-many fingerprint identification.
· Trial pack available: you can download our Trial Pack and test it, create your applications and use it non-commercially for 90 days. Once you decide to purchase the FULL or LIGHT edition, you won’t even need to reinstall the software!
· Easy hardware-free licensing: GrFinger can be licensed with only a text agreement, shipped through the internet. It is amazingly easy to deploy your software.
· Ph.D. researchers team: our technology is on an ever-improving trend, due to our researchers, all of them with an outstanding knowledge and publications on image processing, computer vision and other related issues.
Limitations:
· 90-day trial
Support and packaging of GrFinger Fingerprint Recognition Library (GrFinger) for Java application development.
• GrFinger ActiveX
• GrFinger Driver
• GrFinger Java
• GrFinger Tutorial
FAQ:
Q: What is GrFinger Fingerprint Recognition Library?
A: GrFinger is an easy to use fingerprint recognition library, allowing you to integrate biometrics into your applications using any programming language. In a matter of hours or days, you will start developing your application by simply using your own programming language and GrFinger.
Q: What are the supported programming languages with GrFinger 4.2 Windows SDK?
A: GrFinger 4.2 for Windows supports almost any programming language (as well as the language itself), through DLL or ActiveX component. The list includes among others Microsoft Visual Basic, Java, C, Delphi, C++,.NET, FoxPro and many others.
Q: What are the supported programming languages with GrFinger Java SDK?
A: GrFinger 4.2 for Java (and above) supports Java 5.0 or later. The list includes among others C++, C#, Delphi, Java, Visual Basic and many others.
Q: What is the difference between GrFinger and other fingerprint recognition SDK?
A: GrFinger is a first fully-featured and Open Source SDK for multiple programming languages with support for a wide variety of fingerprint technologies (providing both reader- and driver-less support).
With GrFinger you can integrate biometrics into your applications and use them in environments where biometrics are not allowed or where the user can’t be identified.
With GrFinger, it is easy to create your application in your programming language of choice, choose your fingerprint reader and then simply forget about that!
GrFinger is ideal for:
· Medical applications, such as document control, document encryption, and e-signatures
· Websites, such as user authentication and membership, and digital identity
· Desktop software, such as desktop shell, digital wallet, and data protection
· Software for any mobile device, such as voice or screen based input, and identity
Q: Does it support any fingerprint reader?
A: Yes, it supports almost all the following fingerprint readers:
· HP Touchsmart i750 and i650
· DRIFTSENSE ASL5000
· DRIFTSENSE FLIRST
· Can be integrated in Java applications, delivering smooth and functional result.
· See the SDK for compatible fingerprint systems.
· Supports FingerPrintReader class to detect the fingerprint reader connected to the computer.
· Communicates with a local or remotely installed Biometric Server and Processes recognition requests with the BLUETOOTH protocol.
· Bind the COM method of the identification process to a specific Thread for more stability in multi-thread applications.
· Can be imported as a COM component.
· Works with pre-delivered binaries for the COM architecture.
· Allows multiple detection of fingerprint readers connected to the computer.
· Allows fingerprints with images stored locally or remotely to be recognized and stored.
· Supports Java language.
· Allows you to convert a local image to a compatible format recognized by the BLUETOOTH protocol.
· Supports pre-delivered binaries for the COM architecture.
· Can be imported as a COM component.
· Supports multiple detection of fingerprint readers connected to the computer.
· Supports image fingerprint recognition with Java programs.
· Works with pre-delivered binaries for the COM architecture.
· Allows processing of images stored locally or remotely.
· Allows one to scan multiple images in a single program.
· Supports fingerprint detection with image files (examples included).
· Supports two-way communication with a fingerprint reader.
· Supports pre-delivered binaries for the COM architecture.
· Supports multiple detection of fingerprint readers connected to the computer.
· Allows you to convert a local image to a compatible format recognized by the BLUETOOTH protocol.
· Allows fingerprints with images stored locally or remotely to be recognized and stored.
· Allows pre-delivered binaries for the COM architecture.
· Implements FingerprintReader class that allows reading of fingerprint images.
· Can be imported as a COM component.
· Supports multiple detection of fingerprint readers connected to the computer.
· The supported fingerprint readers include CASIO, DEXMO, EPOC, FINGER LINK, GREYPOINT, HOOGO, HAKKU, MAGPIE, MYTAC, PANDIGM, PULSE, SWIFTBURST and TIZLER.
· Includes source code, for developing Java classes.
· Supports one-to-many/many-to-one/one-to-one identification.
· Supports one-to-many identification on connected fingerprint readers.
· Supports
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· Able to be activated on Microsoft Windows, Linux or Mac OS.
· Built-in driver for the most common fingerprint readers.
· Automatic installation with hardware-free licensing, and a 90-day trial.
· Support for the most common programming languages.
· Compatible with other fingerprint recognition technologies.
· Full fingerprint recognition SDK, consisting of SDK components and sample code.
· Support for multiple fingerprint readers.
· Tested among the best fingerprint recognition software.
· One-to-many fingerprint identification.
· Easy-to-use SDK.
· Ability to be licensed non-commercially, with a simple text agreement.
· Support for internet.
· Use your own programming samples as the basis for your development.
· Sophisticated fingerprints matching technology.
· Registration and verification with full information (data encryption is not required).
· Ability to encrypt and decrypt biometric credentials.
· Algorithms SDK component.
· Fingerprint image processing component.
· Fingerprint identification component.
· Fingerprint image encryption component.
· Fingerprint encryption and decryption component.
· Fingerprint authentication component.
· Fingerprint recognizer component.
· Registered user component.
· Registered user (self-consent) component.
· Verification component.
· Confirmation component.
· Cryptographical Security component.
· Database components.
· Authentification components.
· Self-consent component.
· Internet component.
· Legal terms and conditions component.
· Copyright & Trademark component.
· Assemblies and Component Components.
· Compliance component.
· Fingerprints SDK component.
· Fingerprints Runtime component.
· Fingerprint Reader SDK component.
· Fingerprints Recognition API component.
· Fingerprints Recognition API component.
· Sample code component.
· Samples for ASP.NET component.
· Samples for Java component.
· Samples for Delphi component.
· Samples for Visual Basic component.
· Samples for.NET component.
· Samples for FoxPro component.
· Samples for C++ component.
· Samples for Python component.
· Samples for C component.
· Samples for Objective-C component.
· Samples for C# component.
· Samples for Visual C++ component.
· Samples for WSDL component.
· Samples for PHP component.
· Sam
A Java fingerprint SDK that generates Java classes for a Windows or Linux application. GrFinger Fingerprint SDK is a groundbreaking fingerprint recognition Software Development Kit (SDK) that helps you integrate biometrics into a wide variety of applications. Thanks to its support for dozens of programming languages, richness of code samples, and its thorough documentation, you will start developing your application in a matter of hours!
GrFinger is provided in two different releases. GrFinger 4.2 Windows supports many Windows programming languages through either DLL or ActiveX (COM). GrFinger Java 4.5 allows development of cross-plataform Java programs that will run either in Microsoft Windows or Gnu/Linux.
Here are some key features of “GrFinger Java SDK”:
· Multiple fingerprint reader support: usually, the fingerprint libraries provided by the manufacturers only support their own device. GrFinger’s support for multiple fingerprint readers allows you to choose the more suitable reader, and even after application development or deployment, makes you able to change the fingerprint reader you are using, without modifying your code!
· Driver-less Microsoft Fingerprint reader and Digital Persona support: you don’t need the manufacturer’s driver or SDK (API). Our SDK comes with its own driver for these readers.
· Multiple programming language support: almost all the fingerprint recognition libraries provides as its only interface a cumbersome DLL, where you need to create import files for the language you are using, among other obstacles. GrFinger 4.2 for Microsoft Windows supports multiple programming languages including Java, Delphi, Visual Basic, C++,.NET, FoxPro and many others. Under Microsoft Windows, both ActiveX and DLL components are available to use.
Using GrFinger Java 4.5 you have a Jar component with a easy-to-use set of Java classes.
· With our programming samples, the integration will be amazingly easy. Everything needed to develop in the supported languages is part of the SDK! No additional fee, or licensing needed!
· Support for internet: you can use GrFinger Fingerprint Recognition Library inside a Java applet and create an cross-plataform application for the web!
· Sample code provided in several languages: the fingerprint recognition library comes packed with lots of really detailed programming samples (along with their source code), in a variety of programming languages. These can be used, almost with no change, as the basis to your development.
· International quality assurance: we were successfully tested among the
– Windows 7, 8, 8.1, 10
– Mac OS X 10.8.2 or higher
– 1 GB RAM
– A 6MB NVIDIA GeForce GTX 650 graphics card
– Intel Core i3-4005U CPU
– 500MB of hard-drive space
– 4GB of space in the XInput folder in the main installation folder
– 1080p Full HD Resolution
– DirectX 11 Supported (High Performance)
– Keyboard and mouse (Peripherals are NOT required, but recommended)