The system must be generally robust and tolerant to hardware failures, as even temporary interruptions may cause system-wide problems in large-scale applications.Support for large databases (tens or hundreds of millions of records) is frequently required.Identification requests should be processed as quickly and efficiently as possible (ideally in real-time), requiring considerable computational power.The daily number of identification requests could be very high for certain applications.System scalability is important, as a system may continue to expand and a high level of productivity should be available through the addition of units to the existing system.The system must show high productivity and efficiency, regardless of its scale: collecting fingerprint, face and/or iris samples from a given person) will provide greater reliability.Ī fused algorithm is used to create a single identification decision based on the results of those multiple measurements. Several fingerprint images from person's different fingers or dual iris images will increase matching reliability. The system must perform reliable identification with large databases.īiometric identification systems tend to accumulate False Acceptance Rate with database size increase and the use of a single fingerprint, face or iris image for identification may become unreliable in a large-scale application. Large-scale automatic biometric identification systems have a number of special requirements, which are different from those of small- or medium-scale biometric systems: Multi-biometric systems that incorporate face, fingerprint, iris and/or voiceprint recognition can now offer that as well as a number of other advantages such as improved identification quality and usability. Large-scale biometric applications require high identification speed and reliability. Many countries, including the US, European countries and others, incorporate biometric data into passports, ID cards, visas and other documents for use in large national-scale automatic biometric identification systems.Īutomated fingerprint identification systems (AFIS) have been widely used in forensics for the past two decades, and recently have become relevant for civil applications as well.
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#Afi professional hardware fingerprint registration
Nowadays the need for automated biometric identification systems is increasing in civil and forensic application fields.įast and accurate identification becomes particularly critical for large-scale applications, such as passport and visa documentation, border control, voter registration and election monitoring systems, credit card transaction control and crime scene investigations. Requirements for large-scale biometric systems
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