Multi Biometric Recognition SystemJournal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.8, No. 6)
Publication Date: 2019-06-30
Authors : Sahana J S; Tarun R R; Manjunath C R;
Page : 89-94
Keywords : Unimodal; Multimodal; Biometrics; Security; Accuracy;
As there is a rapid increase in technology development increase in identity theft, consumer fraud, threat to personal data also increasing day by day. The methods developed earlier to secure personal information from theft were not efficient and safe. Biometrics were introduced when there was a need of technology to secure personal information more efficiently. The old fashioned traditional approaches such as Personal Identification Number(PIN), passwords, keys, login id can be forgotten, stolen or lost. In biometric authentication system, a user does not need to remember any passwords or carry any keys. Like humans recognize each other by physical appearance and behavioural characteristics biometric systems makes use of physical characteristics like fingerprints, facial recognition, iris recognition to distinguish between a genuine user and an impostor. Initially biometric identification methods were developed to enhance security in government and corporate sectors, but nowadays it has made its way to almost all the private sectors like Banking. Finance, Home safety and security, Healthcare, Commercial safety and security etc. Since biometrics samples and templates of a biometric system which has single biometric feature to recognize a user can be replaced and duplicated, a new idea of fusion of multiple biometric identification technology has been introduced called multi modal biometric recognition systems which makes use of two or more biometric characteristics of an individual to identify as a genuine user or not.
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Last modified: 2019-06-15 18:12:00