On the Quantification of Aging Effects on Biometric Features
نویسندگان
چکیده
Biometric templates are often used in intelligent human computer interaction systems that include automated access control and personalization of user interaction. The effectiveness of biometric systems is directly linked with aging that causes modifications on biometric features. For example the long term performance of person identification systems decreases as biometric templates derived from aged subjects may display substantial differences when compared to reference templates whereas in age estimation, aging variation allows the age of a subject to be estimated. In this paper we attempt to quantify the effects of aging for different biometric modalities facilitating in that way the design of systems that use biometric features. In this context the homogeneity of statistical distributions of biometric features belonging to certain age classes is quantified enabling in that way the definition of age sensitive and age invariant biometric features. Experimental results demonstrate the applicability of the method in quantifying aging effects.
منابع مشابه
Facial Biometric Templates and Aging: Problems and Challenges for Artificial Intelligence
The performance of face recognition and/or authentication systems is greatly affected by within-person variations encountered in human faces. Within person facial variations distort the appearance of faces leading to inconsistencies between facial features stored in templates and features derived from a face, of the corresponding subject, captured at a different instance. For this reason a cons...
متن کاملEffects of Non-Genetic Factors and Permanent Maternal Environment on Biometric Traits in Moghani Sheep
The present study investigated basic statistics for biometric traits as well as non-genetic factors that may affect these traits in the Moghani breed of sheep. The data-set was computed by using biometric records of the Moghani sheep breeding and raising station over a period of 15 years (1996 to 2012). Year of birth, month of birth, birth type and lamb's sex and dam permanent environment were ...
متن کاملDevelopment of a Unique Biometric-based Cryptographic Key Generation with Repeatability using Brain Signals
Network security is very important when sending confidential data through the network. Cryptography is the science of hiding information, and a combination of cryptography solutions with cognitive science starts a new branch called cognitive cryptography that guarantee the confidentiality and integrity of the data. Brain signals as a biometric indicator can convert to a binary code which can be...
متن کاملAutomatic Signature and Graphical Password Verification : Discriminant Features and New Application Scenarios – Tesis Doctoral –
The proliferation of handheld devices such as smartphones and tablets brings a new scenario for biometric authentication, and in particular to automatic signature verification. Research on signature verification has been traditionally carried out using signatures acquired on digitizing tablets or Tablet-PCs. This PhD Thesis addresses the problem of user authentication on handled devices using h...
متن کامل