The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The use of unimodal biometric system is very low because of physiological defects, modes of user and their environment. Some of those drawbacks are alleviated by providing same identity for multiple evidences. Here a multimodal biometric system is proposed based on LBP, PCA and probabilistic neural network (PNN). In proposed method LBP extracted the Face features from face images and those features...
In these days, Employee turnover has become a major challenge in many software industries. Most often, people suffer from stress due to heavy work pressures imposed on them and competitive spirit of the work completed in their day to day lives. A survey was conducted by software professionals who work for various companies and stress on them was investigated. For this study, the PEGASOS optimization...
In recent developments, Educational institutions seeking and persisting best performance from the students. So the Educational Institutions are striving to enhance the performance of students in academics. In this paper a decision tree induction approach called Multivariate Regression prediction model M5P has been used for predicting performance of students based on relevant terms such as online-learning...
In this paper a novel approach is implemented for learning of IT related courses for visually impaired through e-learning which provides a facility for anyone to learn from anywhere at anytime. It enables visually impaired students to learn the knowledge by accessing the e-content and work more independently with ease of access compared to traditional methods. At present most of eLearning websites...
In this paper an efficient approach for the recognition of a speaker based on text dependent speech is presented. Speaker Recognition/ Verification system suffers with wide variety of problems. In the proposed approach, the features are extracted using two methods such as Mel Frequency Cepstral Coefficients and wavelet subband coefficients, and then these futures are fused through concatenation to...
Medical images play an important role in diagnosing and treatment of several diseases. For taking better decision and diagnosis of the problem the medical images should be free from noise. Generally noise is added while capturing the image and unexpected movement of subject. Thus image denoising is an important pre-processing step in medical image analysis. The main focus in this paper is performance...
In this paper, a hybrid framework is proposed to improve the performance of face recognition by combining global descriptors and local appearance descriptors and proved that their complementary nature makes them good candidates in the better recognition of faces. The proposed face recognition method can handle facial appearance variations which are caused by facial expression and illumination under...
Mobile ad-hoc network is a group of mobile nodes without infrastructure and self-configured in nature. Each node in MANET can move freely in Omni direction thus causes change in links to other devices frequently and they must forward packet transmission irrespective of its personal use; because of this a router is required. So the three prominent routing protocols in MANET such as DSR, AODV and DSDV...
To explore the academic progression of the students, higher educational institutions need better assessment and prediction tools. In this regard, Multilayer Perceptron (MLP) based prediction application is proposed to predict the Grade Point Average (GPA) of the Undergraduate students by the make use of student's Previous Academic History, Regularity, No. of Backlogs, Degree of Intelligence, Working...
This paper presents fusion of two biometric traits, i.e., face and speech, at matching score level fusion. The features are extracted from the pre-processed images of face and speech. Gabor Wavelet and Discrete Cosine Transform (DCT) are used to extract facial features and Sub Band Coding (SBC) is used to extract features from speech signals. These features of a probe image are compared with training...
Although many approaches for facial expression recognition have been proposed in the past, most of them yielding poor recognition performance with single feature extraction method. The objective of this paper is to propose an innovative method based on fusion of local and global features for better classification rate. Gabor wavelets(GWT) are used to extract Local features and Discrete Cosine Transform...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.