Fingerprint Biometrics - Research Paper Example

Biometrics Fingerprint Biometrics Introduction Fingerprint biometric based identification system is one of the oldest techniques which have been effectively employed in a wide variety of departments. It is an admitted fact that everybody has exclusive, unchallengeable fingerprints. Additionally, a fingerprint is composed of a sequence of ridges and furrows on the outside of the finger. In addition, the uniqueness of a fingerprint can be determined through the pattern of furrows and ridges and the minutiae points. In this scenario, minutiae points are confined ridge features that exist at either a ridge split or a ridge ending. Moreover, large volumes of fingerprints are gathered and stored daily in a broad variety of applications comprising forensics, access control and driver license check. An automatic acknowledgment of people based on fingerprints necessitates that the input fingerprint is matched with anyone of the fingerprints stored in a database (Prabhakar and Jain). How Fingerprint Biometrics work? In the past few years, Fingerprint biometric based identity management has become an important area for providing users with secure and simple access to data, information and services all through various networked systems. Hence, a reliable identity management system is an important element of a wide variety of applications that render their systems and services simply to legitimate clients. In this scenario, some of the well-known instances of similar systems comprise Fingerprint biometric based physical access control to a protected business facility, web based business, e-commerce platform, banking, computer network access, and welfare distribution. However, the major objective of an identity management system is to identify a user through individual’s characteristics. Additionally, the customary techniques of implementing a person’s identity comprise a knowledge base (for example: passwords) and token-based (for example: ID card) methods. In view of the fact that these substitute illustrations of the identity can simply be shared, lost or stolen. Consequently, they are not enough for identity confirmation in the contemporary technology based world (Jain, Hong and Kulkarni; JAIN and ROSS; Nandakumar). In case of Fingerprint biometric based environment the seecatch is taken and matched to the stored database systems of people of activated users. Here in case of such Fingerprint biometric based arrangement users those are authenticated are allowed to enter the system. While people those are not having match are not allowed to enter the systems. Cost and Advantage: The convenient, classified, and suitable Fingerprint Application Software characteristics finger print ID verification as well as password entry. It holds ‘Document encryption/decryption’, ‘PC security’ and ‘internet applications’ modules that convene diversified requirements. This application is available at $350 (FineArt Technology Co., Ltd.). Given below are some of the major applications of the biometric technology based systems: (SnowflakeTechnologies; Gilhooly) Business premises authentication Eliminating fraud Safety and accountability Iris recognition in law enforcement Workplace psychology Leveraging the IT Network Future of Fingerprint Biometrics Fingerprint biometric based identity management systems are based on a great deal more improved technology based setup which is aimed at offering effective security in commuting future. Such kinds of identity management system are expected to be more and more common for the sake of more enhanced and effective security management in all kinds of arrangements. Facial Biometrics Introduction A facial biometric detection system is one that observes an image or video of an individual and compares it to one that is stored in the database. Basically, a facial biometric system carries out this process by comparing display shape and proportions of the face; detachment among the nose, eyes, jaw and mouth; upper sketches of the eye sockets; the surfaces of the mouth; site of the eyes, nose, and the area surrounding the check bones. In addition, during the process of detection and identification, numerous pictures are taken of the subject from different angles and with facial expressions. Additionally, at time of authentication and recognition the subject stands in front of the camera for a few seconds, and then the image is compared to those that have been earlier recorded and stored in the database (FindBiometrics). How Facial Biometrics work? Facial biometric detection system encompasses a wide variety of behavioral and physiological features. Additionally, a traditional Facial biometric detection system technology based system is composed of 4 major modules. In this technology sensor module is responsible for getting the biometric facial data from a person. The characteristics extraction system module processes the obtained facial biometric and features based data and extract simply the most important data and information to form a novel demonstration of information. If at all possible, this new illustration should be exclusive for every person and as well comparatively invariant relating to transformation in the diverse facial samples of the similar facial biometric data gathered from the same person. Additionally, the facial feature matching module contrasts the extracted characteristics placed with the templates stored in the overall facial features database and decides the level of similarity or difference between the two. The assessment module either confirms the individuality claimed by the client or decides the user’s identity based on the level of resemblance between the extracted characteristics and the stored templates (Jain, Hong and Kulkarni; JAIN and ROSS; Nandakumar). Cost and Advantage: One of the popular face recognition systems is developed by Cognitec Inc. that builds up market-leading face recognition systems and technologies for industry clients and government agencies all through the world. In a variety of self-governing evaluation tests, Cognitec Inc’s FaceVACS® software has proved to be the premier technology accessible on the marketplace. This application is available at $500 price for medium size organization (FindBiometrics2). Given below are some of the major applications of the facial biometric technology based systems: (SnowflakeTechnologies; Gilhooly) ATM iris recognition Internet Banking Transaction management Daily attendance management Workplace psychology Leveraging the IT Network Future of Fingerprint Biometrics The use of facial biometric detection systems is presently less applicable in common work place or corporate arrangement that is expected to be grown in future for the sake of more enhanced security and privacy management. Seeing the increasing number of terrorists’ attacks it expected that its usage will increase in the near future. Voice Biometrics A voice biometric is a new technology based numerical illustration of the pattern, sound and rhythm of a person’s voice. Similar to a finger print, a voice biometric or voice print technology is as exclusive to a person. In addition, some voice recognition systems that use a voice channel all through the out of band conference can have voice biometric verification to the procedure for even higher levels of verification and security (Authentify). In addition, a person’s voice is very complex to forge for biometrics judgment purposes, as a myriad of characteristics are assessed ranging from speaking and dialect style to pitch, format frequencies and spectral magnitudes. In this scenario, the vibrations of a client’s vocal chords and the patterns created by the physical components result in human speech are features similar to fingerprints (Authentify). How Voice Biometrics work? Voice biometric is based on a database of the voice samples those are matched and assessed for the authentication of the people for the sake of entrance. This can be some specific voice sample of specking code word, or it can be a random sample that is matched on the base of voice pitch, loudness and delay samples (Nuance; Authentify). Cost and Advantage: One of the popular voice biometric systems is Nuance Voice Biometrics that is intended to convene the dynamic security requirements of the world’s most important economic institutions, healthcare providers, telecom service providers, law enforcement, enterprises and administration organizations. This application is available at $655 for corporate and business use (Nuance). Given below are some of the major applications of the voice biometric technology based systems: (SnowflakeTechnologies; Gilhooly) Business premises authentication Eliminating fraud Safety and accountability Iris recognition in law enforcement Workplace psychology Leveraging the IT Network Future of Voice Biometrics Voice biometric systems are specially used for safes and locking systems in more and more critical security areas. Such systems are more and more sophisticated to detect variant voice samples. In future it is expected that such systems will become more efficient and will be applicable for the more enhanced and efficient security management in all areas of corporate and working platforms. The Biometric Disadvantages There are a number of advantages and disadvantages of biometric security management systems: (SnowflakeTechnologies; Gilhooly; Biometrics-System, 2010) Disadvantages These systems are not always a hundred percent accurate Need one or more samples of the biometric reorganization Due to some issues in sample, real user unable to get authenticated Its implementation can be complex Issues regarding real user authentication Conclusion Biometrics technology is used as an effective security tool for automatic recognition of a person by taking into consideration her/his behavioral or physiological features. In addition, this tool is used in combination with customary techniques comprising PIN and passwords numbers for a variety of reasons. This paper has presented an overview of biometric technology based systems. This research has highlighted some of the major issues and advantages of this technology. This paper has also outlined the major manufacturers of biometric technology along with their prices. Works Cited Authentify. Voice Biometrics. 2012. 14 November 2012 . BioAPI Consortium. Related Products. 2012. 10 November 2012 . Biometrics-System. Biometrics: You Should Be Your Own Password. 13 April 2010. 05 November 2012 . FindBiometrics. Facial Recognition. 2012. 16 November 2012 . FindBiometrics2. Cognitec Systems. 2012. 13 November 2012 . FineArt Technology Co., Ltd. Fingerprint Application Software. 2012. 18 November 2012 . Fulcrum Biometrics, LLC. Current Software Price List. 2012. 09 November 2012 . Gilhooly, Kym. Biometrics: Getting Back to Business. 09 May 2005. 10 November 2012 . Informer Technologies, Inc. Biometric Driver Wizard. 2012. 09 November 2012 . JAIN, ANIL K. and ARUN ROSS. "Multibiometric Systems." COMMUNICATIONS OF THE ACM, Volume 47 Issue 1 (2004): 35-40. Jain, Anil, Lin Hong and Yatin Kulkarni. A Multimodal Biometric System Using Fingerprint, Face, and Speech. 1998. 08 November 2012 . Nandakumar, Karthik. INTEGRATION OF MULTIPLE CUES IN BIOMETRIC SYSTEMS. 2005. 05 November 2012 . Neurotechnology1. MegaMatcher Embedded SDK. 2012. 08 November 2012 . Neurotechnology2. VeriFinger SDK. 2012. 08 November 2012 . Neurotechnology3. Fingerprint biometrics. 2012. 06 November 2012 . Nuance. Voice Authentication - Nuance. 2012. 14 November 2012 . Prabhakar, Salil and Anil Jain. Fingerprint Identification. 2012. 12 November 2012 . SnowflakeTechnologies. Biometrics for Business. March 2008. 10 November 2012 . Read More