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.
Macula is the region in the human retina that takes care of central vision. Many people aged above 50 years develop degeneration of the macular region as a part of the body's natural aging process. Age related macular degeneration is the most common type of macular problem that may lead to blindness. In this paper, we present a method of detecting drusen in retinal fundus images. Drusen is detected...
Emotion recognition becomes an investigated topic in affective computing for several applications. The presented paper aims to recognize human emotions using peripheral physiological signals as well as electrocardiogram (ECG), galvanic skin response (GSR), Skin Temperature (Temp) and respiration volume (RV). To achieve this purpose, we develop our work with the multimodal database MAHNOB-HCI. The...
In this work, a computer aided diagnosis system is proposed to classify the Impedance Cardiography signals ‘ICG’ into two groups which are normal and abnormal. The ICG signals are denoised by using the discrete wavelet transform DWT ‘db8’ in order to eliminate different kinds of artifacts. Then, each ICG signal is decomposed into several heartbeat segments by using the location of C peaks. Furthermore,...
Human iris is a perfect part of the body for biometric identification. In fact, iris patterns are unique and stable that is why two people never occur to have the same iris texture even if they are twins. In this paper, we tried to improve the Rai's algorithm feature extraction method. On the one hand, we selected this algorithm thanks to its simplicity as compared to other algorithms that use complex...
I-vector space feature has been recently proved to be very efficient in speaker recognition field. In this paper, we assess using the i-vector approach for emotional speaker recognition in order to boost the performance which is deteriorated by emotions. The key idea of the i-vector algorithm is to represent each speaker by a fixed length and low dimensional feature vector. The concatenation of these...
Liver fibrosis is the natural wound healing response to parenchymal injury in chronic liver diseases and may eventually result in liver cirrhosis. Noninvasive imaging methods widely used for the diagnosis of liver fibrosis are Magnetic Resonance Imaging (MRI), Computed tomography (CT), Ultrasound and Elastography. This work aims to extract texture features from ultrasonic liver images. The Artificial...
Cinnamon cultivation is the main income source of a set of areas in Sri Lanka. Peeling cinnamon is a complex task of the cinnamon harvesting process after identifying the matured cinnamon trees. Expertise knowledge is essential to identify matured trees using the traditional method. Otherwise, it may cause the wastage of cinnamon, by cutting immature cinnamon trees. This research addresses the automated...
Climate is an important contributing factor in the outbreak and spread of dengue fever because it strongly affects the density and distribution of the mosquitoes that carry dengue. However, dengue forecasting models based solely on local weather factors have had limited success. Hence, this paper proposes a novel dengue outbreak detection method that relies on delay permutation entropy (DPE) features...
For development of offline Handwritten Character Recognition (HWCR) system, scripts have always posed a difficulty. In the proposed system, we present neural and non-neural approach for classification of different characters. After pre-processing, features are extracted using Chain code histogram and Intersection junction techniques. BPN, KNN & SVM have been used to train and classify the Devnagari...
A Regionlet model explored here provides a new object representation strategy for generic object detection, which integrates local deformation handling into object classifier learning and feature extraction. Generic object detection deals with different degrees of variations in discrete object classes with tractable computations and hence faces problems. This generates a need for representational...
Plants are considered as one of the greatest assets in the field of Indian Science of Medicine called Ayurveda. Some plants have its medicinal values apart from serving as the source of food. The innovation in the allopathic medicines has degraded the significance of these therapeutic plants. People failed to have their medications at their door step instead went behind the fastest cure unaware of...
Recognition of fruits automatically using machine vision is considered as challenging task as fruits exist in various colors, sizes, shapes and textures. Additionally, when images are acquired of them, variation is introduced due to imaging conditions also. In this paper we have recognized nine different classes of fruits. Fruit image dataset are obtained from web as well as certain images are acquired...
Autism is a lifelong condition present from early childhood. Medical specialists' diagnosis autism based on observation is of great difficulty in communicating, difficulties for forming relationships with other people, and delayed speech. The scientists tried to discover other early signs to reach the early detection of Autism Spectrum Disorders (ASD). Early diagnosing is very important to initiate...
The most common cause of human death is cardiovascular disease (CVD) in today's world. Electrocardiogram (ECG) is widely used techniques for diagnosing CVD. Several methods have been proposed to classify arrhythmia of ECG. In this paper, a new method of extracting features from ECG signals is proposed. This method is built on completely modifying MFCCs (Mel-Frequency Cepstral Coefficients). No filterbank...
Prediction of protein subcellular localization is the most challenging field for the researchers because of its importance in different branch of molecular biology and drug discovery. Last two decades, a large number of machine learning approaches have been tested into sequence based features for the prediction of subcellular localization. Single features like amino acid composition (AAC), pseudo...
Prosodic cues are an important part of human communication. One of these cues is the word prominence which is used to e.g. highlight important information. Since individual speakers use different ways of expressing prominence, it is not easily extracted and incorporated in a dialog system. As a consequence, up to date prominence only plays a marginal role in human-machine communication. In this paper...
Polarity detection is a research topic of major interest, with many applications including detecting the polarity of product reviews. However, in some cases, the polarity of the product reviews might not be available while the polarity of the product itself might be, prohibiting the use of any form of fully supervised learning technique. This scenario, while different, is close to that of multiple...
Eye localization is a vital procedure in many applications, such as face recognition and gaze tracking, and can further facilitate related procedures. Although many works have been devoted to localizing eyes in frontal facial images, most approaches cannot work effectively and efficiently in smart embedded systems (e.g., the vehicle system). In this paper, we propose an accurate eye localization approach...
Speech impaired people are detached from the mainstream society due to the lacking of proper communication aid. Sign language is the primary means of communication for them which normal people do not understand. In order to facilitate the conversation conversion of sign language to audio is very necessary. This paper aims at conversion of sign language to speech so that disabled people have their...
Melanoma is one of the most lethal forms of skin cancer. It occurs on the skin surface and develops from cells known as melanocytes. The same cells are also responsible for benign lesions commonly known as moles, which are visually similar to melanoma in its early stage. If melanoma is treated correctly, it is very often curable. Currently, much research is concentrated on the automated recognition...
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.