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Speaker identification identifies the speaker among a set of users by matching against a set of voiceprints. In speaker identification, the identification time depends on the number of feature vectors, their dimensionality and the number of speakers. In this paper, text independent speaker identification model is developed by taking in MFCCs with VQ to obtain pressed feature vectors without losing...
According to the World Health Organization, cardiovascular diseases (CVD) are the main cause of death worldwide. An estimated 17.5 million people died from CVD in 2012, representing 31% of all global deaths. The electrocardiogram (ECG) is a central tool for the pre-diagnosis of heart diseases. Many advances on ECG arrhythmia classification have been developed in the last century; however, there is...
The major objective of mobility management is to achieve efficient contents transfer for mobile nodes. Content Centric Networking (CCN), as a content-oriented architecture, is designed for efficient content delivery which can easily provide mobility management based on content caching. Caching schemes of CCN deeply influences the content acquisition efficiency and whole network performance. However,...
Customer feedbacks are the mile stones for the success functionality for the companies. A producer will get the correct result of his product from the customer feedback. He can make necessary changes to his product according to the feedback. But most users always fail to give their feedbacks. To avoid the difficulty of providing feedback, this paper focus on the technique of providing automatic feedback...
In today's world the higher stable and distinct biometric characteristics to identify and / or to verify any person are the human iris. Iris recognition system consists image acquisition, localization, normalization, features extraction and matching. Iris images are taken from CASIA iris VI database for study. In this paper we make a comparative study of performance of image transform using Haar transform,...
Analyzing cardiovascular activity under abnormal heart beat is an intricate and vital job to the medical experts and complicated to novice persons. Electrocardiogram is a way to measure or diagnose abnormal heart rhythms to spot heart disease in human beings. These streaming medical signals can be well analyzed or diagnosed only with the prior knowledge. This paper deals with ECG signal analysis based...
According to the World Health Organization, an estimated 17 million people die annually due to cardiac disease, which accounts for 30% of the global deaths. Current studies on cardiac diseases indicate that 15% of the people have Left Anterior Hemiblock (LAHB), which ranks third after Right Bundle Branch Block (RBBB) and Left Bundle Branch Block (LBBB). To our knowledge, a reliably consistent disease...
Seizures are mainly categorized as convulsive seizures and non-convulsive seizures. Diagnosis of convulsive seizures is easy due to its evident clinical manifestations. While these seizures can be the basis of neuronal damage, treatment is provided at the early stage due to its easy clinical diagnosis. On the other hand non-convulsive seizures lack convulsions. However, it too can cause neuronal damage...
Multimodal system aims to fuse two or more biometrics traits of an individual to achieve improvement in FAR and FRR of biometrics system which in turn increases accuracy of system. In this paper we have proposed biometrics system based on biometrics traits face and signature. The performances of face and signature recognition can be enhanced using a proposed feature selection method to select an optimal...
Many people undergo from the stress in their everyday life. Due to there close relationship between the stress, mental health and psychological aspect. Stress management using EEG data is very challenging task. In this paper, classification of EEG data is done by using statistical techniques like, mean, standard deviation, variance and correlation. This algorithm got the 0.0056 correlation which is...
In most state-of-the-art non-distortion-specific no-reference image quality assessment (NDS NR-IQA) methods, the image quality is predicted by training a regression model based on examples of distorted images and their corresponding human subjective scores. However, one drawback of these approaches is the fact that they require a training phase of the regression parameters. In this paper, a non-parametric...
this article reports the development and experimental analysis of an Urdu Optical Character REcognition (OCR) system. The proposed approach presents the preprocessing, features extraction and classification of Urdu language text. Three different features extraction techniques, the Hu moments, Zernike moments and the Principal Component Analysis (PCA) are used. Decision Tree algorithm J-48 is used...
Existing age estimation algorithms based on facial images have been showing high dependency on the age range with the range 29–49 yielding the best estimation results. This paper introduces a new multi-stage binary age estimation (MSAE) system configured as a network of decision making neural network (NN) and support vector machine (SVM) units. The decision making process was based on the classification...
Extraction of discriminate features which could represent the facial expression accurately plays a vital role in effective Facial Expression Recognition (FER). Although much progress has been made, selecting the discriminate features is still a challenging and interesting problem in the FER system. In this paper, we propose a new FER method, which uses the active shape mode (ASM) algorithm to landmark...
Object detection usually needs large sample set for training. We proposed a virtual sample feature generating method for small sample set. Firstly, a generating model for the subcomponent of sample feature is built by using Gaussian distribution simulation. Secondly, the relationship between subcomponents is taken into consideration and modification of generating model is introduced, which can improve...
This paper presents a multi-temporal approach to compensate the atmospheric effects in spaceborne hyperspectral images. It focuses on applications where a hyperspectral sensor periodically acquires images of the same scene and such images have to be classified. The method assumes that a reference reflectance image of the region of interest, equipped with an accurate classification map, is available...
This paper presents a novel method for eye tracking and blink detection in the video frames obtained from low resolution consumer grade web cameras. It uses a method involving Haar based cascade classifier for eye tracking and a combination of HOG features with SVM classifier for eye blink detection. The presented method is non intrusive and hence provides a comfortable user interaction. The eye tracking...
Gujarati is one of the ancient Indian languages spoken widely by the people of Gujarat state. This paper is concerned with the recognition of handwritten Gujarati numerals. For recognition of Gujarati numerals zoning based Feature extraction method is used. Numeral image is divided in 16×16, 8×8, 4×4 and 2×2 Zones. After feature extraction through the zoning method, Naive Bayes classifier and multilayer...
The main purpose of this paper is to determine how well can be differentiated the anxiety /fear emotion. In the analysis it is using EmoDB which contains a total number of seven emotions: happiness, fury, sadness, neutral tones, anxiety, boredom and disgust. We do not used the Romanian Database SRoL because the anxiety state is not recorded at this moment. The results are encouraging, the recognition...
This paper deals with the classification and segmentation of seafloor images recorded by sidescan sonar. To address this problem, related to texture analysis, a supervised approach is considered. The features of the textured images are extract by characterizing the wavelet coefficients through parametric probabilistic models. In this contribution, the generalized Gaussian distribution and the α-stable...
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