Lip Image Feature Extraction Utilizing Snake’s Control Points for Lip Reading Applications

Automatic Extraction of Lip Feature Points

We present a novel algorithm for the robust and reliable automatic extraction of lip feature points for speechreading. The algorithm uses a combination of colour information in the image data and knowledge about the structure of the mouth area to find certain feature points on the inner lip contour. A new confidence measure quantifying how well the feature extraction process worked is introduce...

Automatic snakes for robust lip boundaries extraction

Active contours or snakes are widely used in object segmentation for their ability to integrate features extraction and pixel candidate linking in a single energy minimizing process. But the sensitivity to parameters values and initialization is also a widely known problem. Performance of snakes can be enhanced by better initialization close to the desired solution. We present here a ne mouth r...

Classical Flexible Lip Model Based Relative Weight Finder for Better Lip Reading Utilizing Multi Aspect Lip Geometry

Problem statement: Deaf and dumb needs assistance from a technical box that takes movements of lips to identify the words. This technical article provided appropriate model implementation of flexible lip model for better visual lip reading system. Approach: From the frame sequence of words, Active Shape Model (ASM) based lip model provided local tracking and extraction of geometric lip-feature....

Lip Feature Extraction Using Red Exclusion

Feature Extraction of Human Lip Prints

Methods have been used for identification of human by recognizing lip prints. Human lips have a number of elevation and depressions features called lip prints and examination of lip prints is referred to as cheiloscopy. Lip prints of each human being are unique in nature like many others features of human. In this paper lip print is first smoothened using a Gaussian Filter. Next Sobel Edge Dete...