A system of algorithms for stable human recognition

The principles for designing multimodal biometric systems for improving the reliability of human recognition systems are discussed. The problem is solved by the example of a combination of two biometric human features that can be obtained without any contact with the registering sensor, namely, face images and records of the human voice. The identification technique developed involves face, speech, and voice recognition. Note that the data is processed in real time. The following identification scheme is employed: detection of human presence-face detection-enquiry of speech data-joint recognition of the facial and vocal features. The methods and algorithms employed for solving all posed problems are described, and the rules for making joint decisions are addressed. The results of testing the described algorithms are presented.