As a recognition technology, fingerprint recognition has a long history and has a solid market backing. According to ordinary people's views, fingerprint recognition technology analyzes the global characteristics of fingerprints and local characteristics of fingerprints, such as ridges, valleys and end points, and forks. Point or divergence point, the feature values ​​extracted from the fingerprint can be very detailed in order to reliably confirm the identity of a person through the fingerprint.
On average, each fingerprint has several unique and measurable feature points, each feature point has about seven features, and our ten fingers produce a minimum of 4,900 independently measurable feature points; this is enough to confirm whether fingerprint recognition is A more reliable identification method. Here, we generally give the process of acquiring images, extracting features and comparing in fingerprint recognition.
The two technologies used to collect fingerprint images are mainly optical technology and capacitive technology. Optical technology requires a light source to reflect from the prism and press a finger on an imaging head, and the light illuminates the fingerprint to collect the fingerprint. The semiconductor technology using capacitive technology refers to the fact that the ridges and valleys of the fingers pressed on the collection head produce different capacitances between the finger skin and the chip. The chip obtains a complete fingerprint by measuring different capacitance fields in the space.
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