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In this paper, a new approach for personal identity verification using finger knuckle images and least-square contour alignment method has been proposed. A special test rig with a digital camera was prepared for acquisition the knuckle images. Next, the obtained images of finger knuckle were subjected to image processing method in order to extract the knuckle furrows from them. The verification of...
Recent statistics show that more than 10 million people in the world suffer amputation. Most of these people also have depression because of losing their hand, arm and leg movements. With current technology it is possible to give these people hands, arms and legs. Our aim is to give these people a chance to live. In this study we have designed a robotic hand in order to grasp objects. Grid based feature...
A lot of products are sold on electronic commerce websites. There are many customer reviews available on the Internet. Users read them to select a product to purchase. However, going through the reviews is time-consuming because the number of reviews is large for each product. It is important to reflect reviews in a ranking to make a decision easily. The aim of this research is ranking products based...
Software vulnerabilities pose significant security risks to the host computing system. Faced with continuous disclosure of software vulnerabilities, system administrators must prioritize their efforts, triaging the most critical vulnerabilities to address first. Many vulnerability scoring systems have been proposed, but they all require expert knowledge to determine intricate vulnerability metrics...
This paper mainly introduces an image quality assessment for stereoscopic images via Convolutional Neural Networks (CNN). Firstly, the left and the right view images of a stereoscopic image need to be fused in the way of Principal Component Analysis (PCA). Secondly, method of Mean Subtraction and Contrast Normalization (MSCN) is applied in the fusion images. Finally, taking non-overlapping small patches...
The research interest in fetal heart rate (FHR) monitoring dates back to the 1960s, and the breakthrough on fetal surveillance has been seen during the 1990s with computerized systems. Notwithstanding the general use of cardiotocography (CTG) in fetal monitoring, the assessment of fetal well-being exhibits a significant inter- and even intraobserver variability. Computerized CTG analysis has seen...
Designing a biometrie system based solely on skin texture is of interest because the face is sometimes oeeluded by hair or artefacts in many real-world contexts. This work presents a novel framework for the assessment of skin-based biometric systems incorporating skin quality information. The quality or purity of the extracted skin region is automatically established using pixel colour models prior...
This paper proposes an effective fusion scheme for extracting more discriminative information from bimodal biometrics at data, feature and decision levels. In all these three levels of fusion, information from both face andfingerprint image of a single subject are fused to effectively represent it in a more discriminative ways. For all these three approaches, a combination of wavelet and principal...
Multimodal biometrie systems seek to alleviate some of the limitations of unimodal biometrie systems by combining multiple pieces of evidence of the same person in the deeision-making process. In this paper, a novel multimodal biometric identification system is proposed based on fusing the results obtained from both the face and the left and right irises using deep learning approaches. Firstly, the...
A few years ago, some of the authors proposed an ultrasound technique for achieving 3D palm vein patterns for biometric recognition purposes. That technique was developed with a commercial imaging system using doppler modality. Unfortunately, even if results were promising, the acquisition time was too long for practical applications. More recently, they proposed an effective recognition system that...
The system proposed in this paper is an innovative biometrie authentication platform for access control applications based face recognition. The vision system is based multisensor fusion combining catadioptric sensor (calibrated with a field of view of 360°) and a Pan Tilt Zoom camera (PTZ). It is able to detect and track moving objects with a high zoom level. The recognition process is based on detection...
Fingerprints are one of the most popular biometrics traits. Feature extraction and vector creation are crucial in fingerprint-matching algorithms. For increasing the confidence of fingerprint recognition, different feature vector forms are considered in literature. In this paper, we introduce a complete (fully-implemented) algorithm for fingerprint recognition. The work describes image preprocessing...
Nowadays, expansion of social media and internet are driving to a whole another level. Most of the users critically review anything on the internet specially foods and services in restaurants to showcase their humble opinion. These opinions are very valuable in decision making process. Analyzing and extracting the actual opinion throughout these reviews manually is practically difficult since there...
In this paper, we propose a filtering algorithm that can extract lesions by using lesion feature points based on medical images. We use representative feature extraction methods for lesion recognition based on extraction of shape features and feature points from lesion patterns. I suggest. The preprocessing process of medical image processing removes unnecessary noise from complex medical images and...
Effective presentation skills can help to succeed in business, career and academy. This paper presents the design of speech assessment during the oral presentation and the algorithm for speech evaluation based on criteria of optimal intonation. As the pace of the speech and its optimal intonation varies from language to language, developing an automatic identification of language during the presentation...
This paper presents a comparative study of two recent word spotting techniques ([1] and [2]) directly in the run-length compressed domain. The first technique is based on partial decompression and limited usage of OCR, and the second technique is completely decompression-less and OCR-less. Both the word spotting techniques use word bounding box ratio feature initially for matching words in the database...
This paper presents the evaluation of visual features for the proposed two eye detection method applied to thermal images. The use of two eye region is due to its distinctive pattern and to overcome the issue of blurred and noisy characteristic in the thermal image. Comparative performance analysis on three different features which includes Haar, Histogram of Oriented Gradients (HoG) and Local Binary...
ElectroCardioGram ECG biometrics has recently been identified as a promising technique to identify subjects. Meanwhile, as ECG related data can reveal other factors like medical disease, the protection of the ECG biometric template is mandatory. The challenge is to guaranty the privacy of the ECG data, while keeping adequate performance results in terms of false acceptance rate and false rejection...
Videos are warehouse of information. A good retrieval system is essential for timely access to definitive and accurate information. This paper presents an approach for retrieving shots containing similar text using query by example paradigm. Localization of text is based on Kirsch Direction Mask (KDM). From the localized text region, texture features viz. Local Binary Pattern Variance (LBPV) are obtained...
The goal of this work is to validate the impact of natural elicitation of emotions by the speakers during the development of speech emotion databases for Malayalam language. The work also proposes a Gaussian Mixture Model-Deep Belief Networks (GMM-DBN) based speech emotion recognition system. To test the effect of emotion elicitation by the speakers, two independent datasets with emotionally biased...
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