Development And Enhancement Of Algorithms For Fingerprint Image Classification Verification Compression And Crypto Biometric Authentication Scheme For Atm Banking Systems

Abstract

With the introduction and advancement in the field of information newlinetechnology and network security the concept of ebanking is taking much newlineattention among various researchers Consequently increased emphasis on the newlineprivacy and security of information stored in various databases automatic newlinepersonal identification has become a major thrust area of research in the field newlineof security systems forensic banking privacy policies and surveillance newlinesystems newlineThough there are some traditional knowledgebased Personal newlineIdentification Numbers Passwords and so on and tokenbased approaches newlinedrivers license passports credit cards bank accounts ID cards and keys newlineavailable since 1970 still they always fail to create a secure and reliable newlinetransaction channel They are often found to be unsuccessful in maintaining newlinethe secrecy and to authenticate an indisputable claimer due to the risk of being newlinelost stolen and misplaced or passwords and personal identification numbers newlineare highly prone to fraud and may be forgotten or guessed by an impostor newlineBiometric authentication often referred to as Biometrics is now newlinegaining much interest especially in the field of security system due to their newlineinherent potential and advantages over other traditional approaches Due to its newlineunique biological usually anatomical and behavioural traits observed with newlinethe features of fingerprints face palmhand geometry and iris it finds a wide newlinespectrum of applications in consumer banking kiosks security system newlineairports international ports of entry universities office buildings forensics newlinelaw enforcement amusement parks and various access logins in electronic newlinedevices Further it is expected to provide a high degree of security with multimodal newlinebiometric applications As of now out of all biometric based newlineapplications fingerprint authentication is proved to be much more effective newlinethan other biometric systems; and that subsequently paves the way for the newlineimprovement and development of many techniques and algorithms for newlineclassification verification and compression All those techniques and newlinea