The way the technology works is straightforward. Following the 9/11 terrorist attack, the use of facial recognition, especially in crowded places, as a means of detecting possible threats has been debated widely.
With the ever-growing number of video surveillance cameras mushrooming in large cities, the use of the data captured by these cameras has been at the center of a number of privacy and human rights storms. Fingerprint recognition is one of the first and original biometric technologies that have been grouped loosely under digital forensics. Steve Wright, in Strategic Intelligence Management, 2013 Biometric Technologiesīiometric technologies generally refer to the use of technology to identify a person based on some aspect of their biology. 2 shows the production process of two different collaborative ways to imitate fake fingerprints, and the left side of the flowchart is a collaborative approach. Putte reported that six of the fingerprint sensor spoofing incidents were caused by a collaborative approach, in which the artificial fake fingerprint was dummy silicon rubber. In cooperation, artificial fingerprints are created directly from alive fingerprints with person's consent using casts and molds while in non-cooperative method, artificial fingerprints are created indirectly from latent or cadaver fingerprints on objects or bodies. Putte in 2000, divided the artificial fingerprint replicas into two categories: cooperation of fingerprint owner and non-cooperative of fingerprint owner.
Former research pointed out that fingerprint sensors are easily spoofed by some artificial replicas using wax, moldable plastic, Play-Doh, clay or gelatin.
#Phone camera fingerprint capture verification#
Although fingerprint identifier verification has become a popular and efficient security technology, most of fingerprint recognition systems are vulnerable to various threats, such as attacks at the sensor level or at the database level.
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