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Yayınlar
- BildiriYalnız künye2015Improvement of Palmprint Coding Techniques with Feature Descriptors
Bingöl, Ozkan; Ekinci, Murat
In recent years, biometric palmprint recognition system is one of the preferred research areas due to reach high accuracy even with the low resolution cameras. In recent studies conducted in this area, especially due to hygiene problems, images are taken in contactless and unrestricted environment. Despite a very successful improving methods have been developed for the images obtained in the restricted environment, shifts or projective distortions that occur in the palm pattern obtained from images taken in unconstrained environments negatively affect the success of this method. In this study, coding techniques that are commonly used palmprint recognition systems (Competitive Code, Ordinal Code, Derivative of Gaussian Filters Code) are strengthened with feature determinants (SIFT, SURF) and a new approach has been proposed. Scope of the study, a new data set consists of low-resolution images taken in unconstrained environments created and palmprint patterns obtained with the help of Active Appearance Model. First, performance rate of these coding techniques on the patterns were analyzed. Then, the advantages of 6 different approaches obtained by combining each feature determinant with each coding technique, is disclosed to the system.
- BildiriYalnız künye2014A new approach stereo based palmprint extraction in unrestricted postures
Bingol, Ozkan; Ekinci, Murat; Gokdogan, Ahmet
Regarding the palms recognition system studies, despite achieving a high success rate, hygiene problems in systems with contact and problems arising from changes in the alignment of the hand pose in non-contact ones have been encountered. To resolve these problems, 3D palmprint recognition systems have been developed, however these systems have not had the opportunity to spread due to expensive technologies used as well as low screening rates. In this study, to calculate the position and orientation of a palm in 3D space, a stereo camera system is proposed, with the help of these values by adjusting the geometric image of the palm is converted to a 2D environment. From these images, patterns used for recognition are extracted by using Active Appearance Models. Thus a non-contact system has been achieved, but also patterns that can be used by powerful 2D recognition systems have also been produced.