Determination of Fingerprint Formulation Parameters using Poincare Index Detection

Dactyloscopy is the study of fingerprints which is useful for human identification by observing lines that are on the joints of the fingertips of both hands and feet. The Police use fingerprint biometrics to determine fingerprint formula in the identification process, that usually use manual methods namely using dactyloscopy ink equipment, glass plates, rollers, fingerprint card clamps, and fingerprint cards. The weakness of using this method is the lack of accurate formulation results obtained. There are several parameters that important in fingerprint formulation, namely the focus point in the form of a core point, and a delta point. This study proposed signal processing approach to determine main parameter of fingerprint formula using Poincare Index method as feature extraction to detect core point and delta point. Also use Euclidean Distance to determine ridge counting and ridge tracing. Based on testing results, the designed system is capable of detecting core and delta points and is able to calculate ridge counting and ridge tracing between core and delta. The success rate in detecting cores reaches 87.5%, 82.5 left delta, 87.5% right delta, 77.5% ridge counting, and 75% ridge tracing.