Automated Fingerprint Identification Systems (AFIS) Market

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Automated Fingerprint Identification Systems (AFIS) Market Key Players, Trends, Growth Opportunities and Industry Forecast till 2023

“Automated fingerprint identification systems market is driven by rise in technological transformation in the digital process coupled with growing investments in the government and enterprise sectors to assist e-governance applications that would drive AFIS market during the forecast period.�

The global automated fingerprint identification system (AFIS) market is set to witness a higher CAGR during the forecast period. Automated fingerprint identification systems (AFIS) is a type of biometric that encompasses digital imaging to register a fingerprint for records to match with central database in order to conclude upon the identity of an individual. It is highly known to reduce labour intensive process of searching, identifying, and matching the fingerprint for identification. Mainly used by law enforcement agencies to detect criminal identification plus it also helps to determine the identity of victims of natural and man-made disasters. Automated fingerprint identification systems market is driven by rise in technological transformation in the digital process coupled with growing investments in the government and enterprise sectors to assist egovernance applications that would drive AFIS market during the forecast period. By component, automated fingerprint identification systems (AFIS) market comprises fingerprint input modules, displays, matchers, microprocessors/microcontrollers. By search type, automated fingerprint identification systems market is segmented as latent search and tenprint search. Application category is categorized into governments, financials, institutions, system integrators, semiconductors, foundries, analysts, biometric and software vendors. Get Sample Copy of this Report @ https://www.millioninsights.com/industry-reports/automated-fingerprint-identification-system-afismarket-report/request-sample


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