Hand vein recognition based on the connection lines of reference point and feature point

• A new hand vein recognition algorithm based on reference point is proposed.
• The reference point are extracted from intersection points and endpoints.
• The distances between the reference point to the feature points are used as recognition features.
• The angles between the adjacent connections are used as recognition features.
• Experiments show that the algorithm is able to overcome the influence caused by image rotation.

According to the essential characters of the image topology, a new hand vein recognition algorithm based on the connection lines of reference point and feature points is proposed. In this method, the intersection points and the endpoints of the vein image are used as feature points. After the intersection points and the endpoints selected as feature points, the reference point for image matching are extracted from these points. The relative distances between the reference point and the feature points and the angles between the adjacent connections of the reference point and feature points are calculated and used as recognition features. Finally these two features are combined for hand vein recognition. This method can effectively overcome the influence on the recognition results caused by image translation and rotation. Experimental results show that the proposed algorithm is able to achieve hand vein recognition reliably and quickly.