Research ArticleOpen accessIn the abstractStudy of Mutual Coupling of Typical Commercial UHF RFID Tags in a High-Density EnvironmentGbamélé Konan Fernand, Akpata Edouard, Assamoi Claude Daniel et al.In the context of high-density passive UHF (Ultra High Frequency) RFID (Radio Frequency Identification) tag technology, the problem of mutual coupling has to be taken into account as one of the performance criteria of UHF RFID systems. In practical applications, mutual coupling changes the intrinsic parameters of the antennas attached to these tags, i.e., the impedance matching of the antenna … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 3 · 14 Oct 2022 · 6,578 accessesView PDFCite
Research ArticleOpen accessIn the abstractOmni-Zernike Algorithm for Template Matching in Catadioptric SystemAnisse Khald, Amina Radgui, Mohammed RzizaImage descriptor have been widely applied in many computer visions and image understanding applications including pattern recognition, robotic, video surveillance, camera calibration and image retrieval, etc. Invariants features are robust when apply several transformations of photometry (illumination, blur, noise, JPEG compression) and transformations of geometry (scaling, rotation, translation and viewpoint change). In this study, we present representation and matching region … …Journal of Computer Science, Vol. 16, Issue 12 · 30 Dec 2020 · 6,501 accessesView PDFCite
Research ArticleOpen accessIn the abstractHuman Iris Recognition Based on Hybrid TechniqueAsaad Noori Hashim, Bushraa Mahdi Al-HashimiIris recognition is a biometric technique that uses iris pattern information to detect person identification. Initially, the system find out the boundary of the pupil and iris. Then, Circular Hough transform used to find out the center of both pupil and iris in order to crop iris part from the eye image. After that, Daugman’s Rubber Sheet model utilized for … …Journal of Computer Science, Vol. 15, Issue 12 · 4 Dec 2019 · 7,802 accessesView PDFCite
Research ArticleOpen accessIn the abstractRecognition of Faces using Efficient Multiscale Local Binary Pattern and Kernel Discriminant Analysis in Varying EnvironmentSujata G. Bhele, V.H. MankarFace recognition involves matching face images with different environmental conditions. Matching face images with different environmental conditions is not a easy task. Also matching face images considering variations such as changing illumination, pose, facial expression and that with uncontrolled conditions becomes more difficult. This paper focuses on accurately recognizing face images considering all the above variations. The proposed system is … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 3 · 31 Aug 2017 · 8,132 accessesView PDFCite
Research ArticleOpen accessIn the abstractExtracting Unique Personal Identification Number from IrisNenad Nestorovic, P.W.C. Prasad, Abeer Alsadoon, Amr ElchouemiThe aim of this research is to propose an enhanced model that significantly reduces the noise in the iris templates and thus present an efficient and reliable iris recognition system. Accuracy of Iris recognition system significantly depends on reducing noise at every stage of recognition process especially at eye image acquisition and iris segmentation stages. The proposed Iris recognition model … …American Journal of Applied Sciences, Vol. 14, Issue 7 · 7 Jul 2017 · 8,132 accessesView PDFCite
Research ArticleOpen accessIn the abstractShortage Level of Matching Kidney and Pancreas Organs for Implant is EstimatedRamalingam ShanmugamOrgan transplants are increasingly done worldwide. The organ donors might be dead or alive. There are legal, ethical, medical and administrative issues to procure organs and to transplant them. However, the donor’s organs must fully match the recipient’s requirement before they are quickly transported as the time is the essence. The kidney or pancreas organs are more in demand. When … …International Journal of Research in Nursing, Vol. 4, Issue 2 · 1 Nov 2013 · 6,516 accessesView PDFCite
Research ArticleOpen accessIn the abstractA REVIEW ON THE DEVELOPMENT OF INDONESIAN SIGN LANGUAGE RECOGNITION SYSTEMSutarman, Mazlina Abdul Majid, Jasni Mohamad ZainSign language is mainly employed by hearing-impaired people to communicate with each other. However, communication with normal people is a major handicap for them since normal people do not understand their sign language. Sign language recognition is needed for realizing a human oriented interactive system that can perform an interaction like normal communication. Sign language recognition basically uses two approaches: … …Journal of Computer Science, Vol. 9, Issue 11 · 27 Sep 2013 · 8,691 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation on Score Reliability for Biometric Speaker Authentication SystemsDzati Athiar Ramli, Haryati Jaafar, Muhammad Hazim HasanProblem statement: Fusion weight tuning based on score reliability is imperative in order to ensure the performances of multibiometric systems are sustained. Approach: In this study, two variant of conditions i.e., different performances of individual subsystems and inconsistent quality of test samples are experimented to multibiometric systems. By applying multialgorithm scheme, two types of features extraction method i.e., Linear Predictive … …Journal of Computer Science, Vol. 8, Issue 9 · 16 Aug 2012 · 7,238 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeatures Extraction Based on Linear Regression TechniqueKhalid W. MagldProblem statement: The matching problem of complex objects is one of the most difficult task in the pattern recognition field. These problems are made difficult by seemingly infinite varieties of shapes and classes which are used. The difficulties are related to absolute shape measurement, given the impossibility of directly mapping shapes, as such, into a feature space. Approach: In this … …Journal of Computer Science, Vol. 8, Issue 5 · 25 Feb 2012 · 7,050 accessesView PDFCite
Research ArticleOpen accessIn the abstractStill Image Compression Using Texture and Non Texture Prediction ModelG. Mohanbaabu, P. RenugaProblem statement: Existing lossless image compression schemes attempt to do prediction in an image data using their Local Binary Pattern (LBP) and their spatial neighborhood based techniques. In the previous techniques such as Vector Quantization (VQ) and Gradient Adjusted Prediction (GAP) the texture and non-texture regions are not classified separately. Texture and Non-texture images prophecy has been a key factor … …American Journal of Applied Sciences, Vol. 9, Issue 4 · 11 Feb 2012 · 7,303 accessesView PDFCite