Focused on biometric identification for 25+ years, Eyecool Technology owns world leading proprietary multi-modal biometric algorithm. Applying deep learning into biometric identification, Eyecool developed multiple modals of biometric algorithms, including fingerprint, finger vein, face, iris and multi-modal fusion algorithms. Biometric algorithms of Eyecool have been applied in various industries such as finance, education, civil identification, etc.
Biometric algorithm uses image processing and pattern recognition methods to extract features from collected human physiological features or behavioral features, for digital processing, and converts them into digital codes, then data will be stored in the database by the system. When users communicate with the recognition system for identity authentication, the biometric algorithm extracts the captured features and compares them with the feature template in the database to determine whether they match, so as to determine and verify the identity. In this process, reliable feature extraction and matching algorithms are particularly important.
Generally, there are two modules in biometric identification system logic, enrollment module and identification module.
Enrollment module: Register the basic information of people first, and capture biometric data of users using biometric scanners, then extract the biometric feature data from data acquired, create feature template and save the feature data into database together with users's basic information, the biometric images would be archived in the disk.
Identification module: Capture and extract biometric feature data of user and compare the data with template saved in database to identify the identity of user.