Palmprint features matching based on KAZE feature detection
نویسندگان
چکیده
منابع مشابه
Palmprint Recognition Based on Directional Features and Graph Matching
Palmprint recognition, as a reliable personal identity check method, has been receiving increasing attention during recent years. According to previous work, local texture analysis supplies the most promising framework for palmprint image representation. In this paper, we propose a novel palmprint recognition method by combining statistical texture descriptions of local image regions and their ...
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In this paper, we introduce KAZE features, a novel multiscale 2D feature detection and description algorithm in nonlinear scale spaces. Previous approaches detect and describe features at different scale levels by building or approximating the Gaussian scale space of an image. However, Gaussian blurring does not respect the natural boundaries of objects and smoothes to the same degree both deta...
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In this paper, we propose and evaluate palmprint recognition method based on local Haralick features. The Haralick features are extracted from overlapping square subimages of a palmprint region of interest (ROI). A biometric template is composed of N m-component feature vectors, where N is the total number of overlapping subimages, and m is the number of local Haralick features per subimage in ...
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The evidential value of palmprints in law enforcement is clear from the following statistic: 25% of all crime scenes contain only latent palmprints [1] and 30% of the latents recovered from crime scenes are of palms [2]. In forensic applications, the palmprint image resolution is 500 pixels per inch (ppi) [5] and the matching is based on friction ridges, flexion creases and minutiae points. Pal...
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ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2021
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1878/1/012055