Research ArticleOpen accessPhrase in the titleImplementation of Multi-Centroid Moment Invariants in Thermal-Based Face Identification SystemKhairul Hamimah Abas, Osamu OnoProblem statement: Current paramount methods and approaches in face identification field rely on facial characteristics; such as location of eyes, length of nose and mouth, regardless the type of medium used to acquire the facial images. The visibility of these facial characteristics varies significantly with environmental factors (e.g., lighting elements). Various researches have been devoted to develop methodologies for addressing … …American Journal of Applied Sciences, Vol. 7, Issue 3 · 31 Mar 2010 · 7,168 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleOptimized Set of RST Moment InvariantsKhalid M. HosnyMoment invariants are widely used in image processing, pattern recognition and computer vision. Several methods and algorithms have been proposed for fast and efficient calculation of moment's invariants where numerical approximation errors are involved in most of these methods. In this paper, an optimized set of moment invariants with respect to rotation, scaling and translation is presented. An accurate method … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 7,070 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA NEW APPROACH OF LOCAL FEATURE DESCRIPTORS USING MOMENT INVARIANTSLee-Yeng Ong, Siong-Hoe Lau, Voon-Chet KooMoment invariants have been widely introduced in recognizing planar objects for a few decades. This is due the robustness of moment function in distinguishing the original identity of object under various two Dimensional (2D) transformations. A set of moments computed from a planar images, represents the global description of an object's shape and geometrical features of an image. Since global … …Journal of Computer Science, Vol. 10, Issue 12 · 29 Dec 2014 · 7,957 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAccurate Orthogonal Circular Moment Invariants of Gray-Level ImagesKhalid Mohamed HosnyProblem statement: Orthogonal circular moments of gray level images such as Zernike, pseudo Zernike and Fourier-Mellin moments are widely used in different applications of image processing, pattern recognition and computer vision. Computational processes of these moments and their translation and scale invariants still an open area of research. Approach: a unified methodology is presented for efficient and accurate computation of … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,793 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleRobust Template Matching Using Orthogonal Legendre Moment InvariantsKhalid M. HosnyProblem statement: Template matching is a famous methodology that has a wide range of applications in image and signal processing. For a template and input image, template matching methodology finds the partial input image that is most closely matches the template image in terms of specific criterion such as the Euclidean distance or cross-correlation. Approach: In this study, a fast … …Journal of Computer Science, Vol. 6, Issue 10 · 30 Jul 2010 · 7,623 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleOff-Line Signature Authentication Based on Moment Invariants Using Support Vector Machinek. R. Radhika, M. K. Venkatesha, G. N. SekharProblem statement: The research addressed the computational load reduction in off-line signature verification based on minimal features using bayes classifier, fast Fourier transform, linear discriminant analysis, principal component analysis and support vector machine approaches. Approach: The variation of signature in genuine cases is studied extensively, to predict the set of quad tree components in a genuine sample for one person … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,246 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleObject Detection using Geometric Invariant MomentMohamed Rizon, Haniza Yazid, Puteh Saad et al.Geometric moment invariant produces a set of feature vectors that are invariant under shifting, scaling and rotation. The technique is widely used to extract the global features for pattern recognition due to its discrimination power and robustness. In this paper, moment invariant is used to identify the object from the captured image using the first invariant (Ø1). The recognition rate … …American Journal of Applied Sciences, Vol. 3, Issue 6 · 30 Oct 2006 · 6,665 accessesView PDFCite
Research ArticleOpen accessIn the keywordsContent Based Medical Image Retrieval using Binary Association RulesAkila, Uma MaheswariIn this study, we propose a content-based medical image retrieval framework based on binary association rules to augment the results of medical image diagnosis, for supporting clinical decision making. Specifically, this work is employed on scanned Magnetic Resonance brain Images (MRI) and the proposed Content Based Image Retrieval (CBIR) process is for enhancing relevancy rate of retrieved images. The pertinent … …Journal of Computer Science, Vol. 9, Issue 6 · 30 May 2013 · 6,551 accessesView PDFCite
Research ArticleOpen accessIn the keywords3D Object Recognition using Multiclass Support Vector Machine-K-Nearest Neighbor Supported by Local and Global FeatureC. Chandrasekar, R. MuralidharanProblem statement: In this study, a new method has been proposed for the recognition of 3D objects based on the various views of the object. The proposed method is evolved from the two promising methods available for object recognition. Approach: The proposed method uses both the local and global features extracted from the images. For feature extraction, Hu’s Moment invariant … …Journal of Computer Science, Vol. 8, Issue 8 · 4 Aug 2012 · 7,288 accessesView PDFCite
Research ArticleOpen accessIn the keywordsLogo Recognition System Using Angular Radial Transform DescriptorsOmar Mohammed Wahdan, Khairuddin Omar, Mohammad Faidzul NasrudinProblem statement: The shape-based logo recognition systems have been developed to automate the logo registration process. The logo recognition operation faces many challenges such as having to recognize logos that might be scaled, rotated, translated and added with noises. Different types of logo’s shapes further add to the complex nature of this problem. Approach: We developed a logo recognition system … …Journal of Computer Science, Vol. 7, Issue 9 · 26 Jul 2011 · 7,200 accessesView PDFCite