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 photo response non-uniformity (PRNU) of a sensor can be useful to enhance a biometric systems security by ensuring the authenticity and integrity of images acquired with a biometric sensor, e.g. by performing a source device identification. Previous studies regarding the feasibility of this application have been conducted on the CASIA-Iris V4 database by studying the differentiability of the sensors...
The detection and analysis of retinal vessels in ophthalmology is of great use in the diagnosis and progression monitoring of diabetic retinopathy. Automatic Detection of the vessel network has however been challenging due to noise from uneven contrast and illumination during the retinal image acquisition process. This paper presents a robust segmentation technique that combines phase congruence and...
Electromyographic (EMG) noise is constantly present in stress test electrocardiographic recordings, due to physical exercise. The aim of the study is to investigate a filter that suppress sufficiently the EMG noise, with minimal distortion of high frequency content of the QRS complex.
Fixed structure Mathematical Morphology (MM) operators have been used to detect QRS complexes in the ECG. These schemes are limited by the arbitrary setting of threshold values. Our study aims at extracting QRS complex fiducial points using MM with an adaptive structuring element, on a beat-to-beat basis. The structuring element is updated based on the characteristics of the previously detected QRS...
QRS detection in exercise stress test recordings remains a challenging task, because they are highly non-stationary and contaminated with noises, such as large baseline wander and muscular noise, among others. The aim of this work is to find an optimal set of parameters for QRS detection in very noisy ECG signals, such as those acquired during stress tests. Parameter optimization was addressed by...
Background: This contribution relates to the PhysioNet/CinC Challenge 2014 on Robust Detection of Heart Beats in Multimodal Data. The aim is to locate heart beats in continuous long-term data.
This paper presents an automatic detection system for the classification of phonocardiographic (PCG) signals using 4 standard auscultation areas (one of each cardiac valve) for heart murmur diagnosis. The database of 4-area PCG records belongs to the National University of Colombia. A set of 50 individuals were labeled as normal, while 98 were labeled as exhibiting cardiac murmurs, caused by valve...
This paper describes the effect of 0dB and 10dB babble noise on stuttered speech. 100 samples are collected from the subjects (stutterer), among which 80 samples are used to prepare database dictionary and 20 samples for testing. The samples are segmented and pass through Mel Frequency Cepstral Coefficient (MFCC) feature extraction and statistical estimation to prepare dictionary, then testing samples...
Baseline wander noise removal from Electrocardiogram (ECG) signal is very complex problem. In ECG signal baseline wander noise distorts the low frequency segments. The low frequency segment in ECG is ST segment. Heart attack related information is retrained from ST segment, so it is very necessary to have a noise free ECG signal. This paper presents development and implementation of architecture for...
This paper proposes a novel no-reference Perception-based Image Quality Evaluator (PIQUE) for real-world imagery. A majority of the existing methods for blind image quality assessment rely on opinion-based supervised learning for quality score prediction. Unlike these methods, we propose an opinion unaware methodology that attempts to quantify distortion without the need for any training data. Our...
The best form of identifying a person for criminal investigation is from the fingerprint. Identifying suspects based on latent fingerprint is a procedure that is extremely important to forensics and law enforcement agencies. The small number of minutiae and the noise characteristic of latents make it extremely difficult to automatically match latents to their mated full prints that are stored in law...
In this paper, we propose a feature-based approach to address the challenging task of recognising overlapping sound events from single channel audio. Our approach is based on our previous work on Local Spectrogram Features (LSFs), where we combined a local spectral representation of the spectrogram with the Generalised Hough Transform (GHT) voting system for recognition. Here we propose to take the...
Divers features of human body are being explored on daily basis for person identification based on their uniqueness to individuals. The use of fingerprint in crime investigation has come to stay, but criminals are getting smarter by protecting their fingerprints from being evidence at a crime scene. Concealing of footprint or shoe print is yet to become popular, some criminals still go bare footed...
In day to day life, digital mediated interactions and communications being an important constituent. The expeditious growth of electronic communications such as E-mails, micro blogs, SMS and chats etc has fabricated extensively noisy forms of text. It predominantly in young urbanités. The tremendous growth of noises in text are due to a variety of factors, such as the small number of characters allowed...
The analysis of various components of the Electroglottograph (EGG) signal, obtained after Ensemble Empirical Mode Decomposition (EEMD) is the primary objective of this paper. The ability of EEMD to detect intermittent high frequency data embedded in the data of lower frequency is exploited to segregate the Epoch locations and the Periodic nature of EGG signal. The dyadic filterbank property of EEMD...
Nowadays, many people suffer from heart problems and hence the demand of inexpensive and efficient electrocardiogram (ECG) for frequent heart monitoring is becoming crucial. To make the ECG device portable, cost-effective and light-weight, an alternative of deploying an ECG system is on Field Programmable Gate Array (FPGA). It is also important to choose suitable algorithm that optimize in terms of...
Vehicle localization is the primary information needed for advanced tasks like navigation. This information is usually provided by the use of Global Positioning System (GPS) receivers. However, the low accuracy of GPS in urban environments makes it unreliable for further treatments. The combination of GPS data and additional sensors can improve the localization precision. In this article, a marking...
In the recent years, contour-based shape representation is an important issue in the object recognition research area. In this paper, a new shape descriptor A-DCE is proposed based on DCE and DP for contour deformation and recognition. Firstly, the object contour is evolved adaptively by DCE to extract the contour information with important visual parts. Secondly, the costing feature descriptor is...
This paper presents a new approach for deidentifying face images, i.e. for preventing automatic matching with public face collections. The overall motivation is to offer tools for privacy protection on social networks. We address this question by drawing a parallel between face de-identification and oracle attacks in digital watermarking. In our case, the identity of the face is seen as the watermark...
The paper presents a spatial pooling technique for image quality assessment (IQA) that is based on the idea that the adaptive mechanisms of luminance and contrast in the early vision operate independently. The work is motivated by recent vision science studies on this topic that have not been investigated yet in the field of IQA. The Structural SIMilarity index (SSIM) has been selected as the base...
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.