Applying Palmprint Feature Vector on Hand Lines Recognition System | ||
| Baghdad College of Economic sciences University | ||
| Article 1, Volume 0, Issue 31, June 2018, Pages 421-433 | ||
| Author | ||
| Imad A.Rasool A | ||
| Abstract | ||
| Biometric has gained much attention in the security world recently. Many types of personal authentication systems have been developed, and palm print verification is one of the emerging technologies [1]. Palmprint is considered one of the significant biometric identifiers because it is unique, stable for a long time period, rich of features. Palmprint may be defined as the inner surface of the hand between the fingers and the wrist. The palm richness of extractors comes from the features found in it which are principal lines, wrinkles, ridges, datum points [2]. This paper describes the main work performed in this system. Our research is composed of many stages which are palmprint acquisition, preprocessing stage, feature extraction stage until matching with result stored in a feature vector. Fig(1) is a simplified block diagram of the proposed system. Our palm images are captured using traditional scanner device with resolution of 150 dpi ( Dot Per Inch) and Fig(3) shows a general flowchart of this work. | ||
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