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
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Model
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R106
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Type
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USB Capacitive Fingerprint Reader
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Dimension
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83*55*13 mm(L*W*H)
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Sensing Array
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208*288 pixel
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Resolution
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508 DPI
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Voltage
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5V
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Woking Current
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50mA
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Interface
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USB1.1/2.0
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Support System
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Windows, Android
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Match Time
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<0.1s(1:1), <0.5s(1:N,100 pieces)
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FRR
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≤1%
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FAR
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≤0.0001%
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Contact Discharge
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±8KV
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Air Discharge
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±15KV
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Work Temperature
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0°C ~ 55°C
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Storage Temperature
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-40°C ~ 60°C
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Working Humidity
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<90% R.H
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Storage Humidity
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20% ~ 93% R.H
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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.
