Real-Time and Robust Method for Hand Gesture Recognition System Based on Cross-Correlation Coefficient

In this paper a new classification of range image segmentation method is proposed according to the criterion of homogeneity which obeys the segmentation, then,

The system presents the image processing system containing all the necessary processes such as image scanning and reading, image pre-processing, segmentation,

In the proposed method, the input image is decomposed using wavelet lifting scheme and then the Interactive artificial bee colony algorithm is used in the update process to

The hand tracking and hand gesture recognition block group the methods used to detect the human hand and interpret the hand gestures.. The mouse cursor control block is

The entropy of the watermarked image and correlation coefficient of extracted watermark image is very close to ideal values, proving the correctness of proposed

Now the given digital photo-planimetric method is five control points to rectify digital image in 2000 Japan announced the patent “The map drawing’s system and method”, which is

Finally, image quality measure is computed as the average correlation coefficient between two input images modified by the average correlation coefficient between original image

– A hand vein binary image is obtained by a simple threshold based on Otsu method. – Boundaries from the binary image are detected by canny operator. – Valleys of hand between index