Textural Approach to Palmprint Identification
This work addresses biometric identification for security applications, but it appears incremental as it builds on existing edge detection methods without clear novelty.
The paper tackles palmprint identification by proposing a textural approach that extends conventional edge detection to capture texture features, considering principal lines, edges, and wrinkles equally, but does not report specific performance numbers or results.
Biometrics which use of human physiological characteristics for identifying an individual is now a widespread method of identification and authentication. Biometric identification is a technology which uses several image processing techniques and describes the general procedure for identification and verification using feature extraction, storage and matching from the digitized image of biometric characters such as Finger Print, Face, Iris or Palm Print. The current paper uses palm print biometrics. Here we have presented an identification approach using textural properties of palm print images. The elegance of the method is that the conventional edge detection technique is extended to suitably describe the texture features. In this technique all the characteristics of the palm such as principal lines, edges and wrinkles are considered with equal importance.