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SDK and API

FVS Engine is the best-of-breed fingerprint authentication algorithm for fingerprint application developers . Mantra Technologies MantraFVS SDK enables a user to develop fingerprint authentication applications more quickly and easily. No understanding of Biometrics is necessary and it allows the developers to focus on their application requirements.

FVS SDK
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FVS SDK

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FVS Engine is the best-of-breed fingerprint authentication algorithm for fingerprint application developers . Mantra Technologies MantraFVS SDK enables a user to develop fingerprint authentication applications more quickly and easily. No understanding of Biometrics is necessary and it allows the developers to focus on their application requirements.

 
 
Outstanding authentication performance
Powerful image enhancement technique
Fast 1: 1 and 1: N matching speed
Least FAR and FRR
Supports windows platform
Sensor independent algorithm
Outstanding authentication performance combined with FVS SDK
Fingerprint template compatibility with BioEntry Modules
 
 
PC Based Applications: Embedded Applications
PC/Network Security: Access Control
E-Commerce: Door Lock and Safe
Groupware: POS System
AFIS: Smart Card Application
Public Security: PDA/mobile Systems

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Criminal Forensic AFIS SDK
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Fingerprints are unique and, because of this, became a fast, secure and reliable way to identify people. The skin on internal surfaces of hands and feet has ridges that form the patterns we know as fingerprints. These ridges on skin can fork, break and bend over, creating unique patterns. These patterns have been useful for a hundred years in law enforcement and civil enrollment.

Nowadays the experts in fingerprint identification have a great ally: The Automatic Fingerprint Identification System (AFIS). Using an AFIS system, these patterns are identified by software and are used for comparison with another fingerprint pattern to determine if they came from the same finger and ultimately, from the same person.

AFIS systems can automatically detect several features like: ridge pattern, core, deltas, ridge count and minutiae. Minutiae are the points where a ridge ends or bifurcate. Based on minutiae it is possible to search on large databases and retrieve the identity of the fingerprint owner.
 
Do I need an AFIS or a GrFinger biometric fingerprint recognition?
You need an AFIS if you
  • want to feed small to large civil or criminal systems
  • intend to edit and visually compare fingerprints before search
  • are a fingerprint expert
  • intend to search latents or palmars
  • need Vucetich or Henry fingerprint classification
You don't need an AFIS if you:
  • Need typical biometric application such as time and attendance, access control, computer logon.

Feature

Griaule AFIS

GrFinger Biometric Identification

Image capture

Flat, rolled, latent, palmar

Flat

Image type

Fingerprint, palmprint

Fingerprint

Image source

Live, paper, crime scene

Live, paper

Fingerprint readers

Big platen areas (1"x1" or more)

Small platen

Optimization

For finding fingerprint

For speed

Template size (configurable)

average 5 kilobytes

250 ~ 1000 bytes

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Unifinger SDK
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Unifinger SDK

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UniFingerTM Engine SDK enables users to develop fingerprint authentication applications more quickly and easily. No understanding of complex biometrics is necessary and it allows the developers to focus on their application requirements.

Contents:
• Fingerprint algorithm library for PC Windows
• Sample application program with source code in VC and VB
• Technical documents
• Fingerprint reader
• SFR200-S (standalone type) or SFR200-M (mouse type) To use SFR200
  readers, UniFinger-Engine SDK should be purchased with readers only the first
  time. There is no further cost for royalty in the further purchasing of the
  readers

 
 
Outstanding authentication performance
Powerful image enhancement technique
Fast 1: 1 and 1: N matching speed
Rank No. 1 in Fingerprint Verification Competition 2004
Platform interoperability
Support both PC and embedded applications with the same engine and functionality
Sensor interoperability
Unique sensor-independent fingerprint recognition
 
 
PC Based Applications: Embedded Applications
PC/Network Security: Access Control
E-Commerce: Door Lock and Safe
Groupware: POS System
Time and Attendance management: ATM
AFIS: Smart Card Application
Public Security: PDA/mobile Systems
 

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GrFinger Fingerprint SDK

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GrFinger Fingerprint SDK is a groundbreaking fingerprint recognition Software Development Kit (SDK) that allows you to integrate biometrics in 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.
 
 
Several companies, including the fingerprint readers manufacturers, provide fingerprint recognition SDKs. To help your decision, here are a few points worth considering, and looking for them on other provider's solutions:
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.

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Griaule AFIS WSQ SD

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Griaule AFIS WSQ is a Software Development Kit (SDK) that allows you to add compression, decompression and fingerprint image exchange capabilities into your AFIS systems.

WSQ format is the result of the Wavelet Scalar Quantization (WSQ), a Gray-Scale Fingerprint Image Compression Algorithm. Other compressed file formats, like jpeg and tiff, are not optimized for fingerprints: a fingerprint image stored in those formats would lose important information, becoming almost unreadable by an AFIS. WSQ file format, however, was made for compressing fingerprint images, achieving a high compression ratio and almost no loss of quality.

WSQ is widely used by FBI and many other agencies as the standard mechanism and format for exchanging and storage of fingerprint images. This makes your applications able to exchange images with similar ones, e.g., among the image databases of law enforcement agencies in a country.
 
 
The SDK is very easy to use and comes with full-features sample programs in C#, Visual Basic 6.0, VB.Net, Java, C++.Net, and Delphi.
The file compression ratio is controlled by the user.
It supports all sizes of fingerprint, palm print and footprint images.
It also allows file conversions between WSQ and TIFF, BMP, JPG, PNG and GIF formats.
Griaule AFIS WSQ SDK is based on Griaule's WSQ algorithm, which is certified by FBI for multiple platforms.
  

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Griaule ICAO Face SDK

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Griaule ICAO Face is an image processing Software Development Kit (SDK) that allows automatic identification systems handle facial images following international standards. Digital facial images are widely used for systems like e-passport. The most common problem when dealing with photos is the heterogeneous quality due to the size, face orientation, color, contrast and other variables. Griaule ICAO Face process a digital facial images to improve its quality conforming ICAO (International Civil Aviation Organization) requirements. ICAO is the leading organization on the effort to create standarts for the emerging e-passport technology. It includes a standart for digital image quality for facial images, defining requirements for photographic and digital characteristics.

 
 
Support for multiple programming languages including Java, Delphi, Visual Basic, C++, .NET and FoxPro. Both ActiveX and DLL components are available to use.

Several ICAO Full Frontal Image requirements (ISO/IEC FCD 19794-5) based on eyes and mouth detection that includes:

 
  • Frontal rotation of the face is less than 5º (angle between the eyes)
  • Same pixel aspect ratio at horizontal and vertical dimensions.
  • Nose and mouth are at the horizontal center of the image.
  • The distance from the bottom edge of the image to the imaginary line passing through the center of the eyes is between 50% - 70% of the height of the image.
  • The minimum image width conforms to the image width by head width ratio of 7:5. The head width is defined as the distance between the left and right ears.
  • The distance between the base of the chin and the crown is less than 80% of the total height of the image.

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