Automated fingerprint identification is a process which compares an unidentified fingerprint against recognized fingerprints stored in a database. These systems are related to conventional attendance and access control systems except that they offer real time fingerprint identification. In addition, these systems allow wide range of tasks such as processing, editing, searching, retrieving, and storing of fingerprint images. Automated fingerprint identification systems are often used by law enforcement agencies for criminal identification, authentication, person background check, and fraud prevention measure. Furthermore, at present automated identification systems are used by government, and private enterprises for security and identification purpose. These systems are used in various applications such as border control, voter registration, latent print matching, national identity cards, e passports, and public safety.
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Automated fingerprint identification has gained significant attention across the globe, due to rising security concerns and unlawful activities. The necessity for effective investigation and easy suspect identification has increased to solve crime. In addition, the demand for automation in criminal identification system and storage of information is increasing due to sluggish conventional criminal identification process. Furthermore, the advancements in digital electronics technology, and increasing demand for faster fingerprint identification are expected to drive the automated fingerprint identification market. However, the reliability, and accuracy of fingerprint identification is a major concern in the criminal identification process. In addition, technical failures in the integration of hardware such as fingerprint scanner, and defects in software algorithm for fingerprint comparison are the key challenges restraining this market….