Fingerprint algorithm is a mathematical model description of fingerprint recognition and decision rules based on fingerprint feature identification requirements and computer programming rules. Fingerprint recognition algorithms usually include: fingerprint image preprocessing, fingerprint image feature extraction, fingerprint image comparison. The core team of Shenzhen Fuge Technology Co., Ltd. is composed of industry elites who have more than 20 years of experience in the field of technology development and market expansion in fingerprint and biometrics related industries. As a pioneer and technology leader in the development of the fingerprint industry, we have been committed to actively developing the commercial application strategy of fingerprint recognition. The fingerprint core algorithm of Fuge Technology won the first place in the FVC fingerprint recognition competition. At present, the fingerprint algorithm of Fuge Technology has been widely used in various industries, including attendance access control, security inspection, bank security and other industries. The fingerprint core algorithm of Fuge Technology is in the leading position in the industry in the core technical indicators such as identification speed, rejection rate, false recognition rate, large capacity, anti-false, anti-bright light, dry and wet finger recognition, and has been widely praised by users and partners.
The fingerprint core algorithm of Fuge technology can provide SDKS such as system-free MCU platform, LINUX platform, Android platform, and cloud platform background comparison for customer development and transplantation according to customer needs. At the same time, with various optical fingerprint modules and capacitive fingerprint modules of Fuge Technology, customers can complete the best fingerprint recognition product development work in the fastest time.
Fingerprint algorithm is a mathematical model description of fingerprint recognition and decision rules based on fingerprint feature identification requirements and computer programming rules. The pattern recognition algorithm usually includes three parts: feature extraction, comparison and search.
1. Image acquisition and processing;
2. Fingerprint feature identification and template generation;
3, fingerprint template comparison identification.
Technical indicators:
Rejection rate FRR:= < 1%
Recognition rate FAR:= < 0.001%
Image format:
Image size:
Image resolution:
Fingerprint feature size:
Capacity: 100~50000 pieces (optional)
Comparison speed: less than 0.6S (depends on hardware configuration)
Supported platforms: windows, Android, linux, no operating system.
Special fingers: dry fingers, wet fingers, light grain, rough fingers, etc
Technology licensing methods:
Core SDK licensing:
At present, core authorization is our main authorization method, providing users with the identification core dynamic library, and customers can realize fingerprint acquisition and fingerprint recognition support platforms according to our interface: Android (java), Linux(c), ARM-Linux (c).
Encryption method:
Android: Network authentication/encryption chip;
Linux: Encryption chip/dongle;
+86-0755-2607 5207
