An algorithm for fingerprint core point detection

A spatial domain scar removal strategy for fingerprint image enhancement

“…For feature extraction binarization/thinning 650 based minutiae extraction method and smoothed orientation image creation proposed by Hong et al [5] were used. The core points are detected by the algorithm based on the method described in [53]. Finally, fingerprint matching method using a hybrid shape and orientation descriptor [54] is used for 655 matching purpose.…”

Fingerprint Matching using A Hybrid Shape and Orientation Descriptor

“…The FVC2002 protocol ( Maio et al (2002)) was used in experimentation, comprising of n × 8 × 7/2 = 2800 genuine and n × (n − 1)/2 = 4950 imposter attempts for the FVC2002 database, and n × 8 × 7/2 = 588 genuine and n × (n − 1)/2 = 210 imposter attempts for the smaller database. Image enhancement for the FVC2002 database was performed via the STFT method ( Chikkerur et al (2004)), while the binarization/thinning based minutiae extraction method and smoothed orientation image creation proposed in Hong et al (1998) were used for feature extraction, along with the core point detection algorithm based on the method described in Julasayvake & Choomchuay (2007). Spurious minutiae had very crude filtering applied, with only short spurs and minutiae near segmented border regions removed.…”

Novel Feature Extraction Methodology with Evaluation in Artificial Neural Networks Based Fingerprint Recognition System

“…Conventional detection algorithms for core point use the orientation of all ridges and choose the U turn point as core [17,18]. However they may be unsuccessful where the database includes deficient information on some fingerprints.…”

“…Most common core finding method is benefitted from the orientation of all ridges and chose the U turn point as core [17,18], but these methods may be unsuccessful where the database includes deficient information on some fingerprints. To find the core point, a unique method based on simple circle fitting process is applied.…”