Research Lines

• Biometric Systems

  Biometrics (or biometric authentication) refers to the identification of humans by their characteristics or traits. Biometrics is used in computer science as a form of identification and access control. It is also used to identify individuals in groups that are under surveillance. Biometric identifiers are the distinctive, measurable characteristics used to label and describe individuals. Biometric identifiers are often categorized as physiological versus behavioral characteristics. Physiological characteristics are related to the shape of the body. Examples include, but are not limited to fingerprint, face recognition, DNA, Palm print, hand geometry, iris recognition, retina and odour/scent. Behavioral characteristics are related to the pattern of behavior of a person, including but not limited to: typing rhythm, gait, and voice. Some researchers have coined the term behaviometrics to describe the latter class of biometrics. More traditional means of access control include token-based identification systems, such as a driver's license or passport, and knowledge-based identification systems, such as a password or personal identification number. Since biometric identifiers are unique to individuals, they are more reliable in verifying identity than token and knowledge-based methods; however, the collection of biometric identifiers raises privacy concerns about the ultimate use of this information.
  Chief: Miguel Angel Ferrer.

• One-Dimensional and Two-Dimensional Pattern Recognition

  Artificial Intelligence, especially in Pattern Recognition. Biometric identification (hands, handwriting, signatures, and faces), Analysis of documents: manuscripts and printed OCRs, Environmental Intelligence, Verification and Classification Systems : HMM, SVM, NN and HMM + Kernel Fisher, Digital Image processing, processing biomedical signal and detection of pathologies: ECG, biosignals, dermatological images.
  Chief: Carlos Manuel Travieso

• Behavior Characterization Through Audio and Video

  Development and innovation of automated systems for the detection of laryngeal pathologies and rehabilitation from the speech signal. Detection of emotional states from speech. Troubleshooting faults in machinery from audio and vibration. Security applications through automatic analysis of video images.
  Chief: Jesus Bernardino Alonso-Hernandez.