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26 results for “Adaptive Recognition”
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Research ArticleOpen accessIn the abstractThe Extract Region of Interest in High-Resolution Palmprint using 2D Image Histogram Entropy FunctionInass Shahadha Hussein, Shamsul Bin Sahibuddin, Md Jan Nordin, Nilam Nur AmirThe segmentation of high-resolution palmprint is has been challenged and the research in this filed is still limited because of variations in location and distortion of these images. To achieve superior recognition result, accurate segmentation of a region of interest is very crucial. Therefore, in this paper, a novel palmprint extraction method has been presented using a 2D image histogram … …Journal of Computer Science, Vol. 15, Issue 5 · 8 May 2019 · 7,652 accessesView PDFCite
EditorialOpen accessIn the abstractFocalize the Structure of Myd88 in TLR Signaling Pathway to Modulate Innate Immune Response: New Target for Old DiseasesShuai Xing, Ping ZhouAll diseases have their Achilles’ Heel to target and this is especially true for immunorelated diseases which must be treated by targeting the immune system somewhere and somehow correctly. In the most recent decade, immunologists recognized that the Toll-Like Receptor (TLR) signaling pathway in innate immune system plays a double-edged role in the pathogenesis of many notorious diseases. Although the … …American Journal of Immunology, Vol. 13, Issue 3 · 6 Sep 2017 · 7,862 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomatic Recognition System of Vehicle Plate for Recording Incoming Vehicles to the University Campus and the OutgoingA.A. El-Harby, G.M. Behery, A.A. Al-DhawiAutomatic recognition of vehicle plate characters became a very important in our daily life because of the unlimited increase of vehicles that enter or leave a supervised area. This paper describes an automatic intelligent system that captures the images of vehicles and has the ability to recognize the plates of vehicles entering the university campus or leaving. A camera is … …American Journal of Applied Sciences, Vol. 14, Issue 4 · 12 Apr 2017 · 7,680 accessesView PDFCite
Research ArticleOpen accessIn the abstractCLASSIFICATION OF DIGITAL IMAGES USING FUSION ELEVATED ORDER CLASSIFIER IN WAVELET NEURAL NETWORKR. Arulmurugan, P. SengottuvelanThe revival of wavelet neural networks obtained an extensive use in digital image processing. The shape representation, classification and detection play a very important role in the image analysis. Boosted Greedy Sparse Linear Discriminate Analysis (BGSLDA) trains the cascade level of detection in an efficient manner. With the application of reweighting concept and deployment of class-reparability criterion, lesser search was … …Journal of Computer Science, Vol. 10, Issue 9 · 23 Jun 2014 · 6,790 accessesView PDFCite
Research ArticleOpen accessIn the abstractREMOVAL OF HIGH DENSITY IMPULSE NOISE USING MORPHOLOGICAL BASED ADAPTIVE UNSYMMETRICAL TRIMMED MID-POINT FILTERS. Saravanakumar, A. Ebenezer Jeyakumar, K. N. VijeyakumarA Morphological based Adaptive Unsymmetrical Trimmed Mid-Point Filter (MAUTMPF) for the restoration of gray scale images corrupted by salt and pepper noise for varying noise densities is proposed in this study. Images corrupted by impulsive noise severely hinder subsequent image processing tasks, such as edge detection, image segmentation, object recognition, etc. Therefore, it is absolutely essential to restore the original … …Journal of Computer Science, Vol. 10, Issue 7 · 17 Jun 2014 · 6,543 accessesView PDFCite
Research ArticleOpen accessIn the abstractHALF OF THRESHOLD ALGORITHM: AN ENHANCED LINEAR ADAPTIVE SKIPPING TRAINING ALGORITHM OR MULTILAYER FEEDFORWARD NEURAL NETWORKSManjula Devi Ramasamy, Kuppuswami Subbaraya GounderMultilayer Feed Forward Neural Network (MFNN) has been successfully administered architectures for solving a wide range of supervised pattern recognition tasks. The most problematic task of MFNN is training phase which consumes very long training time on very huge training datasets. An enhanced linear adaptive skipping training algorithm for MFNN called Half of Threshold (HOT) is proposed in this research … …American Journal of Applied Sciences, Vol. 11, Issue 1 · 22 Nov 2013 · 7,016 accessesView PDFCite
Research ArticleOpen accessIn the abstractInnate, Adaptive and Intrinsic Immunity in Human Immunodeficiency Virus InfectionSuneth S. Perera, Nitin K. SaksenaThe first line of defence of the innate immune system functions by recognizing highly conserved sets of molecular structures specific to the microbes, termed pathogen-associated molecular patterns, or PAMPs via the germ line-encoded receptors Pattern-Recognition Receptors (PRRs). In addition to the innate immune system, the vertebrates have also evolved a second line of defence termed adaptive immune system, which uses … …American Journal of Infectious Diseases, Vol. 8, Issue 3 · 27 Nov 2012 · 9,723 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpeech Enhancement Algorithm Using Sub band Two Step Decision Directed Approach with Adaptive Weighting factor and Noise Masking ThresholdDeepa Dhanaskodi, Shanmugam ArumugamProblem statement: Speech Enhancement plays an important role in any of the speech processing systems like speech recognition, mobile communication, hearing aid. Approach: In this work, human perceptual auditory masking effect is incorporated into the single channel speech enhancement algorithm. The algorithm is based on a criterion by which the audible noise may be masked rather than being attenuated and … …Journal of Computer Science, Vol. 7, Issue 6 · 14 Jun 2011 · 7,126 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Multimodal Biometric Authentication Using Fast Fingerprint Verification and Enhanced Iris FeaturesA. Jameer Basha, V. Palanisamy, T. PurusothamanProblem statement: The accuracy of biometric systems varies with the kind of biometric feature used in it. The Unmoral biometric system is prone to interclass variations. Approach: We implement Multimodal biometric systems to overcome the limitations by using multiple pieces of evidence of the same identity. However, the multimodal biometric system is limited to the time constraints due to its … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,619 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Statistical Speech Segmentation Using Connectionist ApproachM. S. Salam, Dzulkifli Mohamad, S. H. SallehProblem statement: Speech segmentation is an important part for speech recognition, synthesizing and coding. Statistical based approach detects segmentation points via computing spectral distortion of the signal without prior knowledge of the acoustic information proved to be able to give good match, less omission but lot of insertion. These insertion points dropped segmentation accuracy. Approach: This study proposed a fusion … …Journal of Computer Science, Vol. 5, Issue 4 · 30 Apr 2009 · 7,680 accessesView PDFCite