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A novel algorithm is proposed in this study for improving the accuracy and robustness of human biometric identification using electrocardiograms (ECG) from mobile devices. The algorithm combines the advantages of both fiducial and non-fiducial ECG features and implements a fully automated, two-stage cascaded classification system using wavelet analysis coupled with probabilistic random forest machine...
Now a days purchasing and selling products online has become more common. People often ask others about the product before purchasing, otherwise see the reviews about the product in the different e-commerce sites and then come to conclusion whether to buy the product or not. This decision making process is very important before purchasing any product. But it is not easy to read all the reviews because...
The document image segmentation is an indispensable task in the document layout analysis system. This paper presents an accurate segmentation approach based on fuzzy classification for the administrative document image. The texture-based analysis works for this kind of document image are rare. And the research works on specific tasks are limited. Moreover, the texture-based segmentation methods are...
Analysis of lace texture images is a challenging problem because the lace is a soft and extensible material and can be easily deformed. This paper investigates a whole system for lace classification. A first step, based on Otsu's segmentation method, allows to remove the background. Then the lace texture is characterized using local binary patterns (LBP). In order to be robust against rotation the...
In this paper, a facial expression recognition algorithm based on Gabor and conditional random fields is proposed. Firstly, owing to the fact that in the existing databases, the number of people and images are relatively small, we established our own facial expression database, and some preprocessing methods are performed thereon. Secondly, Gabor features are extracted in five scales and eight directions...
Data mining is the process of extraction of relevant information from a collection of data. Mining of a particular information related to a concept is done on the basis of the feature of the data. The accessing of these features hence for data retrieval can be termed as the feature extraction mechanism. Different type of feature extraction methods are being used. The feature selection algorithm should...
Texture analysis is widely used to extract facial attributes which are used for face classification. In this paper, novel approaches for texture analysis are proposed to improve the performance of face classification. The proposed methods are derived by applying Local Binary Pattern based approaches on polar raster sampled face images. The proposed methods are evaluated by performing classification...
Proposed algorithm is a face recognition algorithm from video using Generalized mean Deep Learning Neural Network. Generalized mean provides fast convergence of the feature set and Deep learning neural network is enhanced using wavelet transform as it improves the classification efficiency of the neural network. The performance of the proposed algorithm is evaluated on PaSC and Youtube dataset. The...
Existing face recognition methods suffer from efficiency problems and heavily rely on proper features extraction. In this paper, we propose an efficient face classification method which aims to reduce sensitivity to facial variations and occlusions, meanwhile complete tasks efficiently. In contrast with most energy minimizing based recognition methods, proposed algorithm is cast as a simple classification...
In this project by using the Haar Cascades, the logo of the product is detected and information is gathered from XML files located at remote database, which resides on object storage (swift). Web scraping is used to obtain the data stored in the XML file. The information is displayed which can include the reviews, price, contact or official website to order. The ADA-BOOST machine learning is used...
A method for face parametrical statistical features extraction from intensity fragments and segments is considered. Pixel coordinates means are calculated. An algorithm for face classification is proposed. Illustration of features and classification process for given features are presented.
Facial expression has made significant progress in recent years with many commercial systems are available for real-world applications. It gains strong interest to implement a facial expression system on a portable device such as tablet and smart phone device using the camera already integrated in the devices. It is very common to see face recognition phone unlocking app in new smart phones which...
In this paper, we propose an GPU based Cloud system for high-performance arrhythmia detection. Pan-Tompkins algorithm is used for QRS detection and we optimized beat classification algorithm with K-Nearest Neighbor (K-NN). To support high performance beat classification on the system, we parallelized beat classification algorithm with CUDA to execute the algorithm on virtualized GPU devices on the...
Plants are one of the most fundamental and important species on earth. Forest eco-system has been an important source of various economically and socially significant plant species which are very difficult to be properly detected and identified. An automated image based species identification technique will be highly helpful, since it is a tedious job to collect and identify the samples manually in...
Usually, music is generally classified on the basis of its genre which indicates its musical style or musical form based on some sort of shared history. On the contrary, this paper aims to classify a given track into a mood such as happy, sad, peaceful and angry rather than based on its genre because more often than not, the listener prefers to hear songs similar to each other both in terms of the...
In this paper, we proposed a new algorithm based on independent keypoints databases for indoor place recognition. In analogy with set operation, a new kind of operations for keypoints sets are defined to describe the process of independent keypoints database establishment and place classification. To obtain the databases, keypoints are firstly extracted from sample images whose class are known, and...
Face recognition is one of the most natural biometrics identification approaches. But the accuracy of face recognition is significantly influenced by poses, facial expressions, and lighting conditions. This paper presents a novel robust facial recognition system by incorporating color information into a modified active shape model (ASM). The selected robust geometric and chromatic information of facial...
While the world's population is growing, average life expectancy is increasing. As a result, the growing elderly population is profoundly affecting the delivery of healthcare for everyone and in particular for those with chronic diseases. The remote monitoring of chronic patients may be achieved by a telemedicine system utilizing today's information and mobile communication technologies. In this study,...
Revolution in the field of mobile technology has a great impact in rural areas. Unfortunately, such revolution has been overused for communication and entertainment. Specific research efforts towards the amalgamation of mobile technology may result in lucid, affordable, reliable and accurate diagnostic means in the field of healthcare. This paper presents an optimized approach for the development...
Medical document classification is still one of the popular research problems inside text classification domain. Apart from some text data compiled from hospital records, most of the researchers in this field evaluate their classification methodologies on documents retrieved from MEDLINE database. OHSUMED is one of the widely used datasets containing MEDLINE documents as multi-labeled. In this study,...
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