Fingerprint segmentation, sequence checking, and quality scoring for advanced quality and compliance assurance
SequenceCheck provides matching and image quality measurement for multi-finger live scan and card scan systems. It is an API designed for applications requiring a high level of fingerprint image quality assurance. The collection of fingerprint image data for government, civil applicant, immigration, or criminal databases typically includes the collection of two sets of four-finger “slap” images, ten rolled finger images, and an “impression” of each thumb. Errors can occur during the acquisition of fingerprint image data during the live scan or inking process. For example, the impressions can be placed in the roll locations, or the roll images can be arbitrarily placed into the wrong boxes on the paper or electronic record. The images can be smudged or of low contrast. SequenceCheck is broadly used, highly accurate, and error-resilient.
SequenceCheck reports match scores between slaps and rolls of each finger.
SequenceCheck reports non-matching slaps and rolls of the same finger.
SequenceCheck helps to maintain the integrity of the image data, and improve biometric matching performance by confirming that each finger meets a minimum image quality threshold, and that it is properly identified.