Palm vein recognition, a review on prospects and challenges based on CASIA’s dataset

With the development of technology, recognition has become now a very important and main thing due to the large number of fraud and forgery operations that occur. The traditional methods such as signature and recognition based on knowledge do not meet the safety requirements due to the ease of forging and stealing them, as biometric technologies have emerged as an alternative to them due to the high security provided and accuracy. Biometrics rely on behavioral and physiological characteristics such as recognition based on palm veins to provide maximum protection and avoid unauthorized access to our personal property. In this paper, we will talk about authentication through palm veins. They are biological properties that do not change over time, and each person has his own pattern of veins, even symmetric twins have different patterns. These veins are not seen with the eye, which is difficult to forge and steal as the pattern of veins is extracted by near infrared rays palm veins images are considered one of the most promising technologies that meet the advanced safety requirements of modern privacy policies for highly sensitive systems. The authentication system through palm veins generally content from four steps, namely acquisition of image, preprocessing, extraction of feature and feature matching. In each stage, there is a set of methods used in this research. We will talk about these methods used in the palm vein by using the cassia database.