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Biometrics is the discipline which subject of study is the measurement of physiological or behavioral variables typical of organisms, through mathematics and statistics methodologies. Modern technologies for biometrics identification are able to verify the identity of a person through parameters such as fingerprints, the iris of the eye, DNA, peculiarities of human face. A biometrics system is composed of three principal modules:

the module for the acquisition of biometrical signal
the module for the extraction of peculiar characteristics of the signal
the module for the identification

Nowadays, the solutions based on biometrics are able to give an answer to the emergent necessity in the area of financial and confidential transactions, in handling of privacy and personal data. The need of biometrical solutions is more and more pervasive at worldwide level, in countries and local government, in defense and in commercial applications, protection of financial transactions in banking, for selling in a retail market, to comply law dispositions, for the health and the social services. Here below are presented the various algorithms that has been developed. For each of these algorithms is possible to download the corresponding source code, developed entirely in Matlab language.

Identification of the face [1] [2] [3] [4]
Identification of the iris [1] [2] [3] [4]
Identification of fingerprint [1] [2]
Identification of voice [1] [2] [3] [4] [5]
Identification of palm [1]
Identification of the shape of the ear [1]
Identification of the walk [1]
Identification of writing [1]
Identification of the expression of the face [1] [2] [3]
Identification of the signature [1]
Identification of the vascular pattern
Identification of the retina

The techniques analyzed have been subsequently used in different contexts, obtaining original results and at the same time very effective:

Optical identification of the characters [1]
Techniques of analysis and forecast of the trend of market shares [1] [2] [3] [4]
Biomedical techniques of identification [1]
Forecasts of time series
Identification of patterns and comparing of digital images [1] [2]

Besides the techniques proposed and already available, we develop other else new, on request, implementing new algorithms. For further information you can contact us at the e-mail address luigi.rosa@tiscali.it.