… identification, which can efficiently used to identify the people. It is for this reason that
palmprint-based identification is … scheme for palmprint identification using the multivariate …

… The first step consists of applying a low pass filter, such as Gaussian smoothing, to the original
palmprint image. A threshold, T P , is used to convert the filtered image to a binary image, …

… are affected to the recognition results. This paper uses a Gaussian filter for preprocessing, …
this paper is the Laplacian of Gaussian edge detection method and Canny edge detection. …

… The second database employed in this work is the PolyU Multispectral Palmprint Database
(… The observed distribution of matching scores resembles or is similar to the Gaussian shape. …

… with six states and two Gaussian mixtures can obtain the highest identification rate, 97.80%, …
Experimental results demonstrate the feasibility of HMMs on the palmprint identification task…

… an updated survey of palmprint recognition methods, and … -of-the-art palmprint recognition
methods. Using the Hong Kong … 3D palmprint recognition by using mean curvature, Gaussian …

Automatic personal identification from their physical and … personal identification system based
on Multi-Spectral Palmprint … Subsequently, we use the HMM for modeling the observation …

… palmprint identification … of Gaussian in GMM such that the Equal Error Rate (EER) is
minimized. In Fig. 4.(a), we compare the system performance under different number of Gaussian in …

… variances, translation and illumination in image identification. Thus, Histogram of Oriented
… for palmprint recognition so far. In this paper, we propose a new descriptor of palmprint …

… While 2-D palmprint recognition has proved to be efficient in … and robustness of the palmprint
recognition system. One of … In this paper, a Gaussian filter is used to smoothen the depth …