In [18], a new method was proposed to generate a biometric feature from biohashes using genetic algorithms.
"Biometric cryptosystems (BCSs) are designed to securely bind a digital key to a biometric or generate a digital key from a biometric" [9] offering solutions to biometric-dependent key-release and biometric template protection [10, 11].
After generating a pseudo-random key for each biometric signal, the cipher module is activated.
Socure's Social Biometrics Platform, which is already in use by financial institutions in more than 175 countries, provides analytics, assessing information about you from other public online sources, producing a social biometric profile, matching to your photo, and generating a score to determine the authenticity of your identity.
At the time of authentication, again, biometric characteristics of a subject are measured and mapped into the previously defined intervals, generating a hash or key.
In addition, the adversary can generate an image of the biometric modality which could be used for both attacking the system and compromising the privacy of the user.
The THRIVE system can generate a number of protected templates from the same biometric data of a user because of randomized encryption.
The source generates a vector containing the outcomes of the measurements of some biometric parameters of a user.
Crispin believes in bringing "transparency to the surveillance and biometric techniques used today," and in doing so has generated a conversation between computers and the faces of the consumers they represent.
In further work [25, 26] the authors analyze and mathematically formalize major requirements of biometric key generators, and a method to generate randomized biometric templates is proposed [89].
