A scale invariant feature transform based palm vein recognition system

• Main Authors: Che-wei Chang, 張哲維
• Other Authors: Si-jin Hong
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/76035923255925172095

碩士 === 國立臺灣科技大學 === 資訊工程系 === 98 === Biometrics is playing a more and more important role in modern society. From flash drives, notebooks, entrance guard systems to automatic teller machines, biometrics can be seen built-in applications within them. Palm vein recognition is arguably a burgeoning research emphasis on biometrics. Palm vein image contains rich information for identifying and authenticating, and it provides nice and accurate recognition rate. With the vantage that it can not be fabricated, it is becoming a new star of biometrics. A highly-growing market share can be expected. However, in our country, it is a pity that researches about palm vein recognition are rare. In our research, we focused on building a palm texture recognition system by using scale invariant feature transform. Scale invariant feature transform(SIFT) transforms captured palm vein images into distinctive feature points, and they can be compared and used for identifying people. The experimental result shows that it is ideal for being a biometrics system, and its future is promising.