Amidst the numerous biometric modalities, the hand vein recognition has been famous for its high accuracy and stability. The idea of our proposed method is to extract new features from the hand vein, such as; vein direction, its length and combined veins that are considered to be a unique feature for the hand vein of each particular person. This images exposed to filtering techniques, in addition to using enhancement approaches and segmentation processes. This was followed by dividing this study into two parts: the first part used a traditional Pixel by Pixel method to test the processed images. On the other hand, the second part (which is the proposed method of this study) used the "Modified Hough transformation", which is the novelty of the proposed method, to extract the structural features; vein lengths and its angles based on the studied images. Fusion between these structural features and brightness indicator |
