Lie detection, also called as deception detection, uses questioning techniques to ascertain truth and falsehood in response. In this paper, features of speech and physical values are used to ascertain truth and lie. The Mel frequency cepstrum coefficient, energy, zero crossing rate, fundamental frequency and frame function of speech signal and physical values like heart-beat, blood pressure and respiratory rate are used to model the linear detector model. The results are validated by support vector machine and artificial neural network.

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This paper shows an approach to the detection and identification of human faces in a color image. Detection of human faces is becoming a very important task in various applications, such as video surveillance and security control system, intelligent human computer interface, face recognition, content-based image retrieval, multimedia applications on the web like video conferencing and face database management. In this paper, k-means clustering has been used for distinguishing skin from non skin region. Then, some morphological operations have been performed to clean the image. Finally, region property measures have been used to locate face in the image.

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