Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

119 results for “feature recognition”

Set a search alert
Research ArticleOpen accessIn the abstractA 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 · 7,954 accessesView PDFCite
Research ArticleOpen accessIn the abstractRADIUS BASED BLOCK LOCAL BINARY PATTERN ON T-ZONE FACE AREA FOR FACE RECOGNITIONMd. Jan Nordin, Abdul Aziz K. Abdul Hamid, Sumazly Ulaiman, R. U. GobithaasanThis study presents a comparison of recognition performance between feature extraction on the T-Zone face area and Radius based block on the critical point. A T-Zone face image is first divided into small regions where Local Binary Pattern (LBP) histograms are extracted and then concatenated into a single feature vector. This feature vector will further reduce the dimensionality scope by … …Journal of Computer Science, Vol. 10, Issue 12 · 27 Dec 2014 · 7,967 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Innovative Approach for Person Identification by Detection and Extraction of Optic Disc from Retina and Concha from EarC. Malathy, A. K. Sadiq, K. AnnapuraniPerson identification based on unimodal biometric system suffers from noise, intra class similarity, non universality, distinctiveness and spoof attacks. To alleviate the problem faced in unimodal biometric system biometric traits are combined in multimodal biometric system. In this study a new approach, to improve the recognition rate, reduces computational complexity and storage space is presented. Distinct method of person identification … …Journal of Computer Science, Vol. 11, Issue 1 · 22 Sep 2014 · 6,557 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Approach for Detection and Recognition of VehiclesK. S. Selvanayaki, Rm. SomaSundaramOn road vehicles have increased in numbers and monitoring them is a challenging task. In common areas of public crowd people and vehicles are common objects for monitoring. The proposed system aims at detecting number plate information indicating the possibility for security relevant issues. Existing system performs recognition mainly by using license plate alone. Addition of the features (logo, colour, … …Journal of Computer Science, Vol. 11, Issue 2 · 6 Sep 2014 · 7,430 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 abstractFINGER KNUCKLE-PRINT IDENTIFICATION BASED ON LOCAL AND GLOBAL FEATURE EXTRACTION USING SDOSTN. B. Mahesh Kumar, K. PremalathaFinger knuckle-print biometric system has widely used in modern e-world. The region of interest is needed as the key for the feature extraction in a good biometric system. The symmetric discrete orthonormal stockwell transform provides the computational efficiency and multi-scale information of wavelet transforms, while providing texture features in terms of Fourier frequencies. It outperforms leading wavelet-based texture analysis methods. … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 3 Apr 2014 · 6,927 accessesView PDFCite
Research ArticleOpen accessIn the abstractIMPROVED REAL-TIME FACE RECOGNITION BASED ON THREE LEVEL WAVELET DECOMPOSITION-PRINCIPAL COMPONENT ANALYSIS AND MAHALANOBIS DISTANCEEdy Winarno, Agus Harjoko, Aniati Murni Arymurthy, Edi WinarkoThe development of research in the field of real-time face recognition is a study that is being developed in the last decade. Face recognition is used to identify person from an image or video. Recognition rate and computation time of real-time face recognition is one of the big challenges that must be developed. This study proposes a model of face … …Journal of Computer Science, Vol. 10, Issue 5 · 17 Jan 2014 · 8,015 accessesView PDFCite
Research ArticleOpen accessIn the abstractTHE ACCESS CONTROL SYSTEM BASED ON LINEAR DISCRIMINANT ANALYSISWidodo BudihartoFace recognition represents an important computer vision domain that has been researched in the last decades. The objective of this research is to develop an Access Control System based on Face Recognition using Linear Discriminant Analysis (LDA) method. The analysis is done by making an application of face recognition using LDA for extracting features of the face and the output … …Journal of Computer Science, Vol. 10, Issue 3 · 29 Nov 2013 · 6,936 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Speech Recognition System with Hidden Markov Model and Radial Basis Function Neural NetworkJudith Justin, Ila VennilaWe analyze the performance of continuous speech recognition of a speaker independent system using Hidden Markov Model and Artificial Neural Network. Modern speech recognition systems use different combinations of the standard techniques over the basic approach to improve performance accuracy. One such combination which has gained more attention is the hybrid model. Our hybrid system for continuous speech recognition consists … …American Journal of Applied Sciences, Vol. 10, Issue 10 · 5 Sep 2013 · 6,819 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign an Advance Computer-Aided Tool for Image Authentication and ClassificationRozita Teymourzadeh, Amirize Alpha Laadi, Yazan Samir Algnabi et al.Over the years, advancements in the fields of digital image processing and artificial intelligence have been applied in solving many real-life problems. This could be seen in facial image recognition for security systems, identity registrations. Hence a bottleneck of identity registration is image processing. These are carried out in form of image preprocessing, image region extraction by cropping, feature extraction … …American Journal of Applied Sciences, Vol. 10, Issue 7 · 24 Jun 2013 · 6,561 accessesView PDFCite