Saat ini telah banyak dikembangkan sistem pengamanan akses masuk ke ruangan dengan verifikasi identitas menggunakan kunci, kartu, dan sebagainya. Namun keterbatasan manusia dalam mengingat benda sehingga kadang terdapat kejadian tertinggal atau terlupa kombinasi angka password yang mengakibatkan tidak dapat untuk mengakses ruangan. Teknik wajah diperlukan teknologi biometrik handal efisien tanp...

We present new methods to retrieve words in historical handwritten documents. With the assumption that the words can be seen as images, we used the word spotting idea and search for the words in the documents using image retrieval techniques. Specifically, we proposed two methods, one based on the histogram of gradient orientations and one based on the correlation coefficient. We also proposed ...

Each point represents a single ROI. The high concentration of points in top left region indicates higher ICC and low COV. The median (blue circles) and histogram mean (green triangles) appear to have the greatest concentration in the region of high reliability. Figure 1: Automated Brain Mask overlaid on FA map displayed in three special orientations (from left to right: axial, sagittal and coro...

Descriptors based on orientation histograms are widely used in computer vision. The spatial pooling involved in these representations provides important invariance properties, yet it is also responsible for the loss of important details. In this paper, we suggest a way to preserve the details described by the local curvature. We propose a descriptor that comprises the direction and magnitude of...

We propose GLGM (gray-level & gradient-magnitude) histogram as a novel image histogram for thresholding. GLGM histogram explicitly captures the gray level occurrence probability and spatial distribution property simultaneously. Different from previous histograms that also consider the spatial information, GLGM histogram employs the Fibonacci quantized gradient magnitude to characterize spatial ...

The aim of this paper is to present a new algorithm to compute the distance between ndimensional histograms. There are some domains such as pattern recognition or image retrieval that use the distance between histograms at some step of the classification process. For this reason, some algorithms that find the distance between histograms have been proposed in the literature. Nevertheless, most o...

D ENSITY estimation is an established method in the fields of statistics and pattern recognition. Historically, the technique of histograms was used to convey the “general flavor of non-parametric theory and practice” [1, p47] of density estimation. A histogram precisely captures the essence of the density function by presenting the frequency of observations [1, p47]. With this idea in mind, we...