Description
The R106 fingerprint reader is a fingerprint authentication
software development tool which is designed for the android
application developers to apply the fingerprint recognition
functions in developing of fingerprint recognition programs based
on fingerprint international standard,like ISO19794-2,ISO19794-4,ANSI 378,ANSI 381 and WSQ.
It can be used in the personal identification applications on phone
and pocket PC, mobile, etc.·International Standards: ISO19794-2, ISO19794-4, ANSI 378, ANSI
381 and WSQ;
·Ultrathin Structure: Easy to integrate product structure design
·Fast Acquisition Speed: Single frame image acquisition time
≤0.25s;
·High Image Quality: Capacitive fingerprint acquisition technology,
clear image quality;
·Strong adaptability: IDFinger fingerprint recognition algorithm
adopts adaptive adjustment mechanism to make dry, wet and rough
fingers have good imaging effect;
·Support systems: Support Windows, Android, and other embedded
operating systems;
·Simple development: Complete SDK development package, no drive
installation, plug and play.Specifications
Model | R106 |
Type | USB Capacitive Fingerprint Reader |
Dimension | 83*55*13 mm(L*W*H) |
Sensing Array | 208*288 pixel |
Resolution | 508 DPI |
Voltage | 5V |
Woking Current | 50mA |
Interface | USB1.1/2.0 |
Support System | Windows, Android |
Match Time | <0.1s(1:1), <0.5s(1:N,100 pieces) |
FRR | ≤1% |
FAR | ≤0.0001% |
Contact Discharge | ±8KV |
Air Discharge | ±15KV |
Work Temperature | 0°C ~ 55°C |
Storage Temperature | -40°C ~ 60°C |
Working Humidity | <90% R.H |
Storage Humidity | 20% ~ 93% R.H |
Files
·Provide Free SDK Files
If need SDK files,pls contact us.
Why is fingerprint image compression necessary?
Fingerprint image compression plays a crucial role in current
automatic fingerprint recognition systems. The necessity of this
technology is mainly reflected in the following aspects.
Firstly, fingerprint image compression is crucial for saving
storage space. With the widespread application of fingerprint
recognition technology, a large amount of fingerprint data needs to
be stored and managed. If fingerprint images are not compressed,
the required storage space will be very large, which not only
increases hardware costs but also brings great inconvenience to
data storage and management. Therefore, by compressing fingerprint
images, the required storage space can be significantly reduced
while ensuring image quality, thereby reducing costs and improving
the efficiency of data storage and management.
Secondly, fingerprint image compression helps to improve the speed
and efficiency of fingerprint recognition. In automatic fingerprint
recognition systems, matching fingerprint images is a crucial step.
If the fingerprint image is not compressed, a large amount of data
needs to be processed during matching, which will slow down the
recognition speed. By compressing fingerprint images, the
complexity of data processing can be simplified, the speed and
efficiency of matching can be improved, and the requirements for
real-time and accuracy in practical applications can be met.
In addition, fingerprint image compression can also improve the
accuracy of fingerprint recognition to a certain extent. During the
compression process, specific algorithms and techniques can be used
to preserve key feature information of fingerprint images while
removing some redundant and irrelevant information. In this way,
although the number of pixels in the image is reduced after
decompression, the key feature information is still retained, which
has a relatively small impact on the accuracy of fingerprint
recognition. Meanwhile, by removing redundant information during
the compression process, the impact of noise on fingerprint
recognition can be reduced, further improving the accuracy of
recognition.
In practical applications, fingerprint image compression has been
widely used in various scenarios. For example, in police systems,
fingerprint image compression technology is used to store and
manage a large amount of criminal fingerprint data. By compressing
fingerprint images, storage space can be saved while ensuring that
clear fingerprint images can be compared for manual determination
of paired fingerprints during comparison result identification. In
addition, fingerprint image compression technology is widely used
in civilian fields such as mobile phone unlocking and access
control systems to improve system response speed and security.
In summary, fingerprint image compression technology plays an
important role in automatic fingerprint recognition systems. It can
not only save storage space, improve fingerprint recognition speed
and efficiency, but also improve the accuracy of fingerprint
recognition to a certain extent. With the continuous development of
technology, it is believed that fingerprint image compression
technology will be more widely applied and developed in the future.
