Biomedical Signal Analysis Laboratory  
 
     
       
   
Combining Lip Movement with Speech , Voice , and Facial for Identification
 
Current research involves the development of a biometric method of identifying people by combining lip movement with speech recognition, voice recognition, and facial recognition. A separate software development kit for each biometric trait is being used and then the outputted confidence scores will be fused together to create one unified system. By having a system that uses four biometric traits instead of one, the security and reliability of the system increases. This research will focus on developing various configurations for a variety of applications. In some applications, for example, if people have colds on a certain days out of the year, the voice recognition software would have a hard time identifying the person. However, not all is lost because the other three biometric systems will back the confidence level up and still allow the user access. Still other high security applications would require all four biometrics match with the user and be in-sync with each other, ensuring that the authorized person is present at the time of the biometric capture.
 
Research Topics
 
Determination of fingerprint vitality
 
Determination of iris recognition system flaws and factors used for liveness detection
 
Perspiration for Detecting Liveness in Fingerprint Scanners—Comparison of Different Classifiers
 
Spoofing and Liveness Dectection - Brief Background
 
Spoofing Fingerprint Devices
 
Combining Lip Movement with Speech , Voice , and Facial for Identification
         
    Director: Dr. Stephanie Schuckers    Clarkson University    West Virginia University

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