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97 results for “Pattern Recognition”
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Research ArticleOpen accessIn the keywordsPattern Based Communication System and Its Performance Characteristics Compared to the Matched FilteringOzgur Orcay, Berk UstundagProblem Statement: Pattern Based Communication System (PBCS) aims to handle two prominent restrictions in communication lines. These are the inefficient utilization of the bandwidth under the spectrum limitations and sensitivity of the data transmission rate to the variation of Signal to Noise Ratio (SNR). Approach: The key point of PBCS is to construct the optimal communication signals, which consist of … …Journal of Computer Science, Vol. 7, Issue 1 · 16 Dec 2010 · 7,288 accessesView PDFCite
Research ArticleOpen accessIn the keywordsNeural Network Based Accurate Biometric Recognition and Identification of Human Iris PatternsM. Gopikrishnan, T. SanthanamProblem statement: A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition is regarded as the most reliable and accurate biometric identification system available. Approach: Most commercial iris recognition systems use patented algorithms developed by Daugman and these algorithms are able to produce perfect recognition rates. However, published … …Journal of Computer Science, Vol. 6, Issue 10 · 10 Aug 2010 · 7,155 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Tool to Develop Arabic Handwriting Recognition System Using Genetic ApproachHanan Aljuaid, Zulkifli Muhammad, Muhammad SarfrazProblem statement: Significant movement has been made in handwriting recognition technology over the last few years. Up until now, Arabic handwriting recognition systems have been limited to small and medium vocabulary applications, since most of them often rely on a database during the recognition process. The facility of dealing with large database, however, opens up many more applications. Approach: This … …Journal of Computer Science, Vol. 6, Issue 6 · 30 Jun 2010 · 7,525 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMultimodal Face and Ear ImagesA.A. Darwish, R. Abd Elghafar, A. Fawzi AliProblem statement: The study presented in this study to combined face and ear algorithms as an application of human identification. Biometric system to the detection and identification of human faces and ears developed a multimodal biometric system using eigenfaces and eigenears. Approach: The proposed system used the extracted face and ear images to develop the respective feature spaces via the … …Journal of Computer Science, Vol. 5, Issue 5 · 30 May 2009 · 7,225 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBack Propagation Neural Network Arabic Characters Classification Module Utilizing Microsoft WordA. A. HamzaProblem statement: Arabic character recognition has been one of the last major languages to receive attention. This may be attributed to the inherent complexity of both printed and handwritten Arabic characters. The objectives of this study were to: (i) summarize the main characteristics of Arabic language writing style. (ii) suggest a neural network recognition circuit. Approach: A Neural network with … …Journal of Computer Science, Vol. 4, Issue 9 · 30 Sep 2008 · 7,831 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSegmentation and Recognition of Handwritten Numeric ChainsSalim Ouchtati, Mouldi Bedda, Abderrazak LachouriAutomatic reading of numeric chains has been attempted in several application areas such as bank cheque processing, postal code recognition and form processing. Such applications have been very popular in handwriting recognition research, due to the possibility to reduce considerably the manual effort involved in these tasks. In this study we propose an off line system for the recognition of … …Journal of Computer Science, Vol. 3, Issue 4 · 30 Apr 2007 · 7,636 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Intelligent Multilingual Mouse Gesture Recognition SystemNidal F. Shilbayeh, Mahmoud Z. IskandaraniA comprehensive mouse gesture system is designed and tested successfully. The system is based on UNIPEN algorithm in terms of mouse movements and applies its geometrical principles such as angles and transposition steps. The system incorporates Neural Networks as its learning and recognition engine. The designed algorithm is not only capable of translating discrete gesture moves, but also continuous sentences … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 7,126 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Deep Convolutional Neural Wavelet Network for Classification of Medical ImagesRamzi Ben Ali, Ridha Ejbali, Mourad ZaiedThis work present a new solution for medical image classification using the Neural Network (NN) and Wavelet Network (WN) based on the Fast Wavelet Transform (FWT) and the Adaboost algorithm. This method is divided in two stages: The learning stage and the classification stage. The first consists to extract the features using the FWT based on the MultiResolution Analysis (MRA). … …Journal of Computer Science, Vol. 14, Issue 11 · 11 Nov 2018 · 7,620 accessesView PDFCite
Research ArticleOpen accessIn the keywordsINVESTIGATION ON THE DIAGNOSIS OF SIMPLE AND COMBINES MECHANICAL FAULTS IN ASYNCHRONOUS MOTOR BASED ELECTRIC DRIVESBouras A. Karim, Bouras Slimane, Hadjadj A. Elias et al.In this study, the problems of mechanical unbalance, parallel and angular misalignments and their combinations are analyzed experimentally. Such frequent defects in the drives mainly in the major powers are also responsible for the bearings degradation. However, they have not raised the attention of researchers, given the complexity of their modeling. The combination of the phasic current signal analysis and … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 11 Apr 2014 · 6,685 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEye Detection Using Composite Cross-CorrelationKutiba Nanaa, Mohamed Rizon, Mohd Nordin Abd Rahman et al.This study presents a new eye detection method depending on composite template matching for facial images. The objective of this study is to utilize template match method to detect the eyes from given images and to improve this method to obtain higher rate of detection. The idea of our method is to integrate cross correlations of various eye templates. Thus, … …American Journal of Applied Sciences, Vol. 10, Issue 11 · 3 Oct 2013 · 6,890 accessesView PDFCite