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Interest on palmprint biometrics has experimented a strong growth in the last decades due to its useful characteristics as uniqueness, permanence, reliability, user-friendliness, acceptability, non-intrusiveness, and low cost of the acquisition devices, which make it attractive for civil and commercial applications. Accordingly, a wide research has been developed in this field. Nevertheless, there...
This paper presents the design of a convolutional neural network architecture using the MatConvNet library for MATLAB in order to achieve the recognition of 2 classes of hand gestures: ”open” and ”closed”. Six architectures were implemented to which their hyperparameters and depth were varied to observe their behavior through the validation error in the training and accuracy in the estimation of each...
Nowadays there are many Digital Elevation Models (DEM) available. Some of them are commercial while others can be accessed free of charge. Therefore the purpose of this study is to compare some of them, which cover a very particular region namely Fildes Peninsula in the south-western end of King George Island — Antarctica. In comparison to field measurements, carried out earlier, our results reveal...
Iris recognition is a biometric authentication system proving vital for ensuring security and has been employed as an important case to test the algorithms developed in pattern recognition. The unique circular shape of the iris and its time invariance makes it a versatile technique that has an accuracy that can be mathematically proven. Here in this work we propose a new segmentation technique and...
The ability to check the location of people or mobile devices (MD) in indoor environment has a large number of application. Indoor Positioning System (IPS) utilizes many existing technologies such as radio frequencies, magnetic fields, acoustic signals, thermal, optical or other sensors. WLAN IPS become one of the most favorite solutions because it is already widely exist and provide good accuracy...
Diagnosing liver disease is the challenging task for many public health physicians. In this study, we propose the framework to diagnose the hepatitis disease. For this study the adaptive rule based induction were formulated and the adaptive rule implemented in combined Robust BoxCox Transformation (RBCT) and Neural Network (NN) methods. The performance of proposed model is compared and results are...
The concept of indoor location positioning has been around for decades now. Despite the existence of many algorithms that can achieve location positioning with remarkable performance in terms of accuracy, implementation of such algorithms has not been done on a large scale. There is a trade-off between the positioning accuracy and the complexity of the algorithm. This paper introduces and explains...
Cluster Analysis methods are very important, popular data summarization techniques applied in diverse environments. These techniques retrieve the hidden patterns in large datasets in the form of characterized patterns which can be interpreted further in different contexts. Widespread use of medical information systems and explosive growth of medical databases require traditional manual data analysis...
In this present paper, a Radial Basis Function Network (RBFN) based on Modified Optimal Clustering Algorithm (MOCA) have been developed for clear and occluded fingerprint identification. Unlike conventional OCA technique which only considers intra cluster similarity for performing the desired number of clusters, MOCA combines both intra and inter cluster similarity while grouping such that not only...
Face recognition has broad excitement in the latest trend in image processing. Face recognition refers to identify a specific individual in digital image by analyzing and comparing patterns. It has numerous benefits which attract every sector but there are some issues such as more time consumption and lesser accuracy which degrade the user services. To solve this problem we proposed a highly accurate...
With the increasing usage of Wi-Fi infrastructure, methods of indoor localization by Wi-Fi are receiving more and more research efforts in the past. Reducing computational complexity and improving the rate of matching effectively can improve accuracy and real-time of localization. In this paper, we propose a novel clustering approach-AP similarity clustering and K-Weighted Nearest Node (KWNN) method...
Mobile communications and Internet have become one of the most important services nowadays. Most mobile devices, such as cell phone, PDA, and laptop computer, equipped with the WiFi, GPS, and Bluetooth as their standard, build-in equipment, and people have got used to use mobile services in their daily life. One interesting service is Wifi-based indoor positioning system (IPS) that attracts many researchers...
Extensive research has been conducted in an effort to evaluate methods and techniques for image segmentation. However, while most literature has focused on evaluating automatic and semi-automatic algorithms, works evaluating interactive segmentation algorithms are less numerous. Note that interactive segmentation can improve results by adding prior knowledge from users into the process. Although this...
Automatic recognition of emotions in speech has attracted the attention of the research community in recent years. Some of the most relevant proposed applications of it are in call-centers. In these scenarios the speech is distorted by compression algorithms. The effects of such distortion on the performance of systems for automatic recognition of emotions must be assessed. In this study these effects...
The paper describes an experimental study on emotion recognition using a collection of emotional recordings from SRoL corpus. Its goal is to study and to obtain a simple tool that can be used in recordings validation in the process of building large voice corpora. The tools can help or even replace the human validation. In this study we used two classifiers, k-NN (k — Nearest Neighborhood) and SVM...
Facial emotions provide an essential source of information commonly used in human communication. For humans, their recognition is automatic and is done exploiting the real-time variations of facial features. However, the replication of this natural process using computer vision systems is still a challenge, since automation and real-time system requirements are compromised in order to achieve an accurate...
This paper proposes an effective method to construct a new descriptor for solving face recognition with pose variance. In this method, we use feature of nose and HAT-MARS descriptor to build a combined descriptor for matching between gallery and probe images. For experiments, our method uses only one gallery image on CMU-PIE database. The empirical results show that our method is strong and efficient.
Due to heavy clutters and occlusions of complex background, natural images contain complex features in data structure which often cause errors in image classification. In this paper, we propose semi-supervised bi-dictionary learning for image classification with smooth representation-based label propagation (SRLP) which extends reconstruction-based classification in a probabilistic manner. First,...
A novel method is introduced for label propagation on similarity tensors. The proposed method operates on data with multiple representations. A higher order similarity matrix is constructed for describing the relationship between the data representations in different modalities. Then, label propagation is performed on the above mentioned similarity matrix, by extending the state of the art label propagation...
Uni-modal analysis of palmprint and palmvein has been investigated for human recognition. One of the problems encountered with such system is that the Uni-modal biometric is less perfect, reliable and vulnerable to spoofing, as the data can be imitated or forged. In this paper, we present a multi-modal Personal identification system using palmprint and palmvein images with their fusion applied at...
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