Nearest Neighbor Vector Based Palmprint Verification
نویسندگان
چکیده
We introduce palmprint verification, one of the most reliable personal identification methods in the biometric technology. In this paper, a new approach to the palmprint verification based on nearest neighbor vector (NNV) is presented. Initially we find the datum point of palmprint, which have a remarkable advantage about their spatial location. We find all possible line pairs using NNV, followed by a first level preliminary match using the nearest neighbor lines, and then a second level match is carried out by considering the global datum point feature of palmprints to overcome the possible distortion. The two level analyses based on the NNV and datum point helps in effective palmprint verification. With several palmprint images, we tested out proposed verification system and the experimental results shows that the performance of our algorithm is good.
منابع مشابه
Multifeature Palmprint Recognitionusing Feature Level Fusion
Palmprint verification is an important tool for authentication of an individual and it can be of significant value in security and ecommerce applications. Palmprint identification has gained high impact over the other biometric modalities due to its reliability and high user acceptance. This paper presents a palmprint based identification approach which uses the Gabor wavelet to extract multipl...
متن کاملGaussianization of image patches for efficient palmprint recognition
In this paper we present a comparison of the two dominant image preprocessing techniques for palmprint recognition, namely, histogram equalization and mean-variance normalization. We show that both techniques pursue a similar goal and that the difference in recognition efficiency stems from the fact that not all assumptions underlying the mean-variance normalization approach are always met. We ...
متن کاملPalmprint recognition using HMAX model and Support Vector Machine classifier
Support vector machine (SVM) and HMAX model are two powerful recent techniques. SVMs are classifiers which have demonstrated high generalization capabilities in many different tasks, including the object recognition problem. HMAX is a feature extraction method and this method is motivated by a quantitative model of visual cortex. In this paper we combine these two techniques for the palmprint v...
متن کاملسیستم جدید احراز هویت مبتنی بر تبدیل های کانتورلت و موجک برای تصاویر با کیفیت پائین کف دست
This paper proposed an authentication system based on low quality palmprint. For implementation of this system, first the features is extracted by using Contourlet and wavelet transforms. In the second phase, some of the features are selected by using Across Group Variance (AGV) filter. In the last phase by using a classification method, the authentication is completed. For classification we ev...
متن کاملLocal Derivative Pattern with Smart Thresholding: Local Composition Derivative Pattern for Palmprint Matching
Palmprint recognition is a new biometrics system based on physiological characteristics of the palmprint, which includes rich, stable, and unique features such as lines, points, and texture. Texture is one of the most important features extracted from low resolution images. In this paper, a new local descriptor, Local Composition Derivative Pattern (LCDP) is proposed to extract smartly stronger...
متن کامل