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Avalon Biometrics Solutions

QFinger - Fingerprint Quality Assurance Engine

QFinger - Fingerprint Quality Assurance Engine

QFinger is state-of-the-art fingerprint image quality assessment software library as .Net API from Avalon Biometrics, which is available as SDK for integration into third party applications and featured in all fingerprint modules of Avalons solutions and wherever fingerprint quality assurance according to international standards and recommendations is needed, whether captured live or from paper, as in a back-record conversion scenario.

 

QFinger uses a set of complex & specific algorithms to assess the overall quality and usability of a fingerprint image in order to assure the highest possible quality of the captured data to be stored into a central register and to assure suit ability for any AFIS system.


Key Features

 

Extensive QA Feedback

QFinger implements a generic measure of fingerprint quality and is capable of determining:
• Crop information – the fingerprint bounding rectangle within the original image
• Ridge & Ridge Flow QA
• Reliable & Unreliable Image Areas
• Reliable & Unreliable Minutiaes
• Core & Delta Presence and position relative to the upper left corner of the cropped area
• Minutiae count
• Overall Quality Metric
• NFIQ metric

WorldClass additional functionality

• Live QA by analyzing real-time buffer from fingerprint scanner
• Adequate cropping of fingerprint
• Slap Segmentation
• 2 finger segmentation - optional
• Sequence Check
• Authenticity Check (1:10 fps to prevent any double captured fingerprint)
• FBI Certified WSQ compression
• Generating ANSI / NIST type records (2000, 2007 & 2008 XML)
• JPEG2000 support for 1000dpi images
• RAW image file support - the raw pixel output of a fingerprint sensor

 

Reliable & Unreliable Images Areas & Minutiae

Depending that is based on the continuity of ridge flow across all regions of a finger image, and returns information based on the following factors:

• Proper size & resolution according to international standards
• Core & Delta Presence
• Global QA value
• Image Brightness, Contrast & Clarity to adequately determine ridges, minutiae, bifurcations, etc. to have neither a too dark nor a too light fingerprint
• Smudged Image due to movements, scratches / obstacles, too wet fingers, etc.

Quality Overlay

All areas of interests are returned with certain assessment values which can be freely configured to be shown in the customer preferred colors to support the operator in a quality assured and guided live capturing process or for batch processing with defined rules.

Different Colors can be assigned for:

• Too light image areas (bad area)
• Too dark image areas (bad area)
• Unreliable image areas (bad area)
• Good image areas (good area)

 

Default Overlay Functionality:

• Core and Delta Location
• Minutiae
• Reliable & Unreliable minutiae
• Good & Bad areas of the image
• Original image as a background (optional)

Default Controls for Overlay:

• Color of Core and Delta
• Color of Minutiae
• Color of Reliable & Unreliable minutiae
• Color of Good & Bad areas of the image
• Color of Original image as a background (optional)

Quality Metric

QFinger calculates an overall score between 0 and 100, taking into account all available image assessment information and to adequately determine the quality of the fingerprint.

Quality Metric Thresholds

Thresholds come with default values that are optimized according to empirical data vs. FBI compliant test sets. The user has the possibility in addition to set his own thresholds according to his requirements.

• Bad (red color)
• Acceptable (yellow color)
• Good (green color)

 

QFinger - Fingerprint Quality Assurance Engine

 

QFinger - Advanced Fingerprint Pre- & Post-Processor - Optional

 

!! Designed to process low quality fingerprints, reconstruct ridge flows, preserve features of interest and remove distortion and semi-permanent features producing a significantly improved output that enhances matching performance. !!

A recent study evaluated the effect of the Preprocessor on NFIQ quality scoring of fingerprints. Before application of the Preprocessor 90% of fingerprints scored at the lowest quality levels of 3-5, after pre-processing this reduced to just 10%.

By modeling the underlying ridge pattern even with low quality images, removing semi-permanent features (such as scratches and scars) and reducing linear and nonlinear distortions the Preprocessor module can improve matching performance of most fingerprint matching products.

Below you can see an improved fingerprint image by the pre- / post-processor

 

QFinger - Fingerprint Quality Assurance Engine

 

This innovative pre-processor is another milestone from Avalon to ensure high quality enrollments and the highest possible accuracy for any AFIS due to the use of quality assured fingerprints.

Below you can see the QFinger engine utilized in a customized fingerprint module of Avalon Biometrics optimized for guided workflows and the quality metric determined and overlayed over the captured fingerprint which is directly stored as FBI certified WSQ file. If the user clicks on one of the catured fingeroprint images at the bottom the Quality Overlay and additional information if shown. Otherwise the user gets an instant feedback via the color scheme if everything is ok or not to have the best usability and optimized enrollment times without distractions.

 

QFinger - Fingerprint Quality Assurance Engine



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