Basic principles of biometric identification |
Identity versus biometric traits: Types of traits and biometric signatures. Variance intra-class and *nter-class of the biometric signatures. Influence of the sensors in the different signatures.
Mathematical modelling of the biometric data: Extraction of characteristics. Compression. Representation versus Discrimination. Recognition, Identification, Verification and Authentication. Types of errors: TER, ERR, FAR, FRR. |
Current biometric technologies |
Physiological characteristics: fingerprints, iris, face, palm, retina, voice.
Behavioural characteristics: signature (static and dynamic), keystrokes.
Detection of alive sample.
Pros and conts in the use of each biométric trait. |
Fingerprint recognition |
Representation of minucias. Hausdorff distance. Gabor. filters. Tolerance to deformations. Types of sensors. |
Multimodal recognition. Multibiometrics. |
Combination of classifiers. Independent or correlated sources. Fusion of classifiers: intramodal, intermodal, algorithmic and scores-based. State of the art Systems using multimodal recognition and/or multibiometrics. |