Fingerprint identification is a personal identification method that uses the crest patterns found on the fingertips. In fact, crest patterns vary from person to person and no two individuals can have the same crest formations or patterns. In addition, throughout life, a person wears the same set of crest patterns at the fingertips. This means of personal identification has been in use since the 19th century, as it offers reliable means of personal recognition. Today, this method of personal identification is used in various sectors due to its infallible means of personal identification. Fingerprint identification is achieved through automated methods or non-automated methods for authentication. The modern approach to the use of this technology involves the use of fingerprint readers that work with optical, thermal, silicon or ultrasonic principles. These readers consist of fingerprint sensors and algorithms. The fingerprint sensors capture a digital image of the fingerprint pattern and digitally process this scan to produce a biometric template that is stored and used for future matches and identifications. Stored algorithms compare the database of previously stored fingerprints with the candidate's fingerprints for authentication.
The application of fingerprint recognition technology is easy and relatively cheap. The use of fingerprint identification in medical care eliminates the risk of duplicating insurance claims or request for proof by discriminating between the same identities with different names. The technique verifies the identity of the user before initiating a particular transaction and, therefore, also eliminates the need for pin or passwords. However, certain drawbacks associated with the use of this technology include the rejection of scans due to scars, calluses, cracks, dirt or nails that are too long and a less effective system for application in children under 15 years. The fingerprint identification technology has important applications in the control of physical and logical access, time and attendance and for document encryption purposes.
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The market for the identification of fingerprints in medical care has been widely segmented as automated fingerprint identification systems (AFIS) and non-automated fingerprint identification systems (not AFIS). Automatic fingerprint identification allows automatic matching of one or more unknown fingerprints with a database already stored. These types of verification and identification systems are generally used in access control and assistance systems. AFIS systems can be used to identify patients and database providers from tens to hundreds of thousands of fingerprints. Automated fingerprint identification systems have been widely used in recent years due to the availability of custom AFIS applications, the growing acceptance of electronic projects and the growing demand for more integrated security solutions by the health sector. Non-AFIS fingerprint biometrics is a mature and well established technology due to ongoing research and industrial developments. These systems are designed with relatively simple and easy-to-use interfaces and are more affordable. Such solutions tend to scan fewer fingers for authentication and provide additional flexibility to enroll multiple fingers. The growing demand for biometric fingerprint technologies other than AFIS is expected to be vital for physical access control systems due to increased demand and, therefore, it is estimated that it will generate high growth rates through extensive adoption of such systems in the near future.
Globally, North America is the leading market for fingerprint identification in healthcare, followed by Europe. The implementation of HIPAA (Health Insurance Portability and Accountability Law) in the United States is one of the key factors that have been instrumental in driving market growth in the North American region. The market will witness an increase in the Asia-Pacific and the rest of the world (RoW) regions due to increasing government initiatives to control fraud and provide security in their respective countries. The growing adoption in the private sector will also play a key role in driving market growth. 3M Cogent, Inc., BIO-key International, Inc., DigitalPersona, Inc., Lumidigm, Inc. and Siemens AG are some of the main players actively participating in this market.
This research report analyzes this market based on its market segments, major geographies and current market trends. The geographies analyzed in this research report include North America Asia Pacific Europe Middle East and Africa Latin America
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