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10 articles for “Invariant Moment (IM)”
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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 · 6,663 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 · 6,548 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 · 7,285 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 · 7,197 accessesView PDFCite
Research ArticleOpen accessIn the keywordsProbabilistic Artificial Neural Network For Recognizing the Arabic Hand Written CharactersKhalaf khatatneh, Ibrahiem M.M. El Emary, Basem Al-RifaiThe objective of this study was to present a new technique assists in developing a recognition system for handling the Arabic Hand Written text. The proposed system is called Arabic Hand Written Optical Character Recognition (AHOCR). AHOCR was concerned with recognition of hand written Alphanumeric Arabic characters. In the present work, extracted characters are represented by using geometric moment invariant … …Journal of Computer Science, Vol. 2, Issue 12 · 31 Dec 2006 · 6,911 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Multimodal Biometric System using Global Features for Identical Twins IdentificationBayan Omar Mohammed, Siti Mariyam ShamsuddinPattern recognition studies are currently focusing on twin’s biometric identification. The system of twins’ biometric Identification can potentially differentiate the individual’s biometric pattern. With the new Unimodal biometric identification, identical twins are precisely and reliably identified, with well exposure of certain traits. However, it is much more challenging to identify identical twins as they share so many similarities between them, … …Journal of Computer Science, Vol. 14, Issue 1 · 18 Jan 2018 · 8,014 accessesView PDFCite
Research ArticleOpen accessIn the abstractA NEW METHOD FOR 3D SHAPE INDEXING AND RETRIEVAL IN LARGE DATABASE BY USING THE LEVEL CUTA. Lakehal, M. Elkhal, K. SatoriIn this study, we propose a new method for indexing and retrieval of 3D models in large databases based on binary images extracted from the 3D object called &#34level cut&#34 LC. These cuts are obtained by the intersection of the set of the plans with the 3D object. A set of equidistant parallel plans generates by the intersection with the … …Journal of Computer Science, Vol. 10, Issue 10 · 22 May 2014 · 6,824 accessesView PDFCite
Research ArticleOpen accessIn the abstractCONTENT BASED BATIK IMAGE RETRIEVALA. Haris Rangkuti, Agus Harjoko, Agfianto Eko PutroContent Based Batik Image Retrieval (CBBIR) is an area of research that focuses on image processing based on characteristic motifs of batik. Basically the image has a unique batik motif compared with other images. Its uniqueness lies in the characteristics possessed texture and shape, which has a unique and distinct characteristics compared with other image characteristics. To study this batik … …Journal of Computer Science, Vol. 10, Issue 6 · 27 Jan 2014 · 7,417 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomatic Palmprint Identification based on High Order Zernike MomentR. Gayathri, P. RamamoorthyProblem statement: Hand geometry contains relatively invariant features of an individual. Palmprint recognition is an efficient biometric solution for authentication system. The existence of several hand-based authentication commercial systems indicates the effectiveness of this type of biometric. Approach: We proposed a palmprint verification system using high order Zernike moment that was robust to rotation, translation and occlusion. Zernike moment was … …American Journal of Applied Sciences, Vol. 9, Issue 5 · 12 Mar 2012 · 7,193 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation 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 · 7,163 accessesView PDFCite