Lip Detecting Algorithm Research And Hardware Implementation

Lip-reading or speech-reading systems can understand or partially understand what a speaker says via his/her lip movements. The lip-reading research aims at compensating for the audio channel information by video information channel in order to enhance the computers' intelligent level. The technology of lip-reading that comes from the skills which are often used by poor listeners to understand what others say can also be made full use of to get information in certain cases (e.g. intelligence). Nowadays, this technology is widely used in the realm of voice identification, identity identification, human-computer intelligent interface and multi-media etc.Lip detecting acted as one of the most important steps of lip-reading systems contains 2 facets, one is human face identification technology using which to detect the face of a speaker, the other is lip-detecting technology on the base of a human face that is already detected by face identification technology. In this paper, research was mainly carried out on the base of color images of human faces because the methodology of detecting face is mature enough in current times.In this paper, the R, G, B distribution of lip and skin color was detailedly researched in different race based on human face chromatic images and a new lip detecting algorithm was brought forward. This simple, effective, robust new algorithm that was fit for both white and yellow race made full use of the diversity of R, G, B distribution diversity between lip and skin to locate the lip area. The comparisons were done among this new algorithm and other two famous algorithm called Chromatic Feature Extraction algorithm and Red Exclusion algorithm. The results of experiments showed this new algorithm had many improved features.Finally, hardware description language was used to implement the new algorithm which was proved to be fit for embedded systems by the guide line of processing speed and hardware spending.