Fingerprint identification is the most well-known biometric identification technique. Fingerprints have been used for identification since the late 19th century. In recent times, the process has become automated thanks to advancements in computing, such as the Griaule Fingerprint SDK.
How it Works
In the fingerprint scanning process, there can be seen dark lines, representing the high, peaking part of a ridge, and white space, representing the space between the ridges. Identification is mainly done on the basis of the minutiae, or the location as well as direction of ridge endings and splits along the path of a ridge.
Hardware and Software
Different types of sensors are used for fingerprint reading – optical, ultrasound, thermal, and capacitive. Optical sensors are the most widely used type of sensors. They take an image of the finger. There are mainly two fingerprint matching methods- pattern matching and minutiae matching. In pattern matching, two images are compared for similarities. In minutiae matching, the most common technique, minutiae points are considered.
