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Building a human-computer interactive parachute simulator is an efficient way to avoid the high risk and high cost of field parachute training. In this paper, a novel dynamic recognition and simulation approach of parachute training is developed. Firstly we process the skeletal data acquired by Kinect and enforce the indication of the trainees' parachute posture, where principle component analysis...
Contrast of image plays an important role in image perception quality and is also susceptive to various factors during image acquisition process. However, only a few image quality evaluation algorithms have been focused on the contrast-changed image quality assessment (IQA), and none of these methods belongs to blind IQA algorithms. Therefore, they cannot be applied to the case when the reference...
In recent years, biometric, or "who you are," authentication has grown rapidly in acceptance and use. Biometric authentication offers users the convenience of not having to carry a password, PIN, smartcard, etc. Instead, users will use their inherent biometric traits for authentication and, as a result, risk their biometric information being stolen. The security of users’ biometric...
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...
Recently, the combination of classification systems with semi-supervised learning has attracted researchers in several fields. Usually, for tasks with high complexity such as handwriting based age prediction, individual systems, using one classifier associated with specific data features, cannot provide satisfactory performance. In this paper, we investigate the contribution of the Co-training approach,...
In this work, the Curvelet transform is proposed as a fairly new feature extraction method for palmprint recognition. Particularly, a multiscale analysis has been performed at four levels, assessing and combining the features extracted at each level in order to find those which better represent the palmprint. Feature matching has been conducted by means of Euclidean distance and Support Vector Machines...
In this research paper three biometric characteristics are used i.e. Fingerprint, Face, Iris at score level of Fusion. For finger print images two methods are used i.e. Minutiae Extraction and Gabor filter approach. For Iris recognition system Gabor wavelet is used for feature selection. For Face biometric system P.C.A. is used for feature selection. The match count of every trait is calculated. Then...
Many approaches are characteristic of name opinion is based only on the review of the single-shaft, ignoring non-trivial disparities in the distribution of the word of those around Corpus different. In Proposed work a new technique introduced to determine the characteristics of the idea of the magazine online by using the difference in those statistics through two and more than two different entities,...
To effectively reuse existing NC machining process of similar part and feature, an effective data mining approach of existing CAM models in machining process data is proposed. First, a machining feature based multilevel structured CAM model is proposed to reveal the relations between machining features and machining operations. Then, the structured machining know-how database is automatically generated...
In this work, we adopt the use of deep learning method for no-reference image quality assessment. With the development of deep neural networks technology, foundational and deep features of images could be captured without much prior knowledge. So a sparse autoencoder (SAE) was trained to express a 32 × 32 pixels image into a feature vector. Then the original images were cut into serial sub-images...
Today there are various types of image editing tools which make totally changes in image with free of cost, Image has performed a significant role in Human life but image has easily fiddle using image processing software. Fiddle image has difficult to detect that it is original or not for this reasons the image forgery detection topic is active research work nowadays. The proposed of this paper to...
The current need for large multimodal databases to evaluate automatic biometrics recognition systems has motivated the development of the XJTU multimodal database. The main purpose has been to consider a large scale population, with statistical significance, in a real multimodal procedure, and including several sources of variability that can be found in real environments. The acquisition process,...
With the development of science and technology, computer technology is increasingly updated, and multimedia search technology has been widely used. For music retrieval, textbased retrieval technology can't meet the diversified retrieval needs. Humming retrieval is through matching the input audio and the audio in the database to match the audio. It's a more convenient way to retrieve music. In this...
Biometrie systems have become a vital part of our present day automated systems. Every individual has its unique biometrie features in terms of Face, Iris and periocular regions. Identification/Recognition of a person by using these biometrie features is significantly studied over the last decade to build robust systems. The periocular region has become the powerful alternative for unconstrained biometrics...
Emotion recognition is important at the workplace because it impacts a multitude of outcomes, such as performance, engagement and well-being. Emotion recognition from audio is an attractive option due to its non-obtrusive nature and availability of microphones in devices at the workplace. We describe building a classifier that analyzes the para-linguistic features of audio streams to classify them...
The high-level feature representation of deep convo-lutional neural networks (ConvNets) has proven to be superior to hand-crafted low-level features. Thus, this study investigates the effect of fusing such high-level features from multi-deep ConvNets under an application of visual object/scene categorization. In which, three pre-trained ConvNets are exploited as feature extractors, a single hidden...
3D face recognition is a popular research area due to its vast application in biometrics and security. Local feature-based methods gain importance in the recent years due to their robustness under degradation conditions. In this paper, a novel high-order local pattern descriptor in combination with sparse representation based classifier (SRC) is proposed for expression robust 3D face recognition....
In informational age there are many information crucial to a individual. To protect the data from the unwanted use we proposed the biometric system of vein recognition as today's world demand for a easy and accurate biometric system to protect our data. The biometric system is accurate and easy to use as every individual has a unique vein pattern. In this paper we have studied various method used...
Biometrics is an active research field that is increasingly being integrated into current technology. As a result, more and more people are becoming familiar with biometric technics such as fingerprint or facial recognition. Nevertheless, there are innovative techniques such as ear-based biometrics which are not very well known yet because they are at initial stages of research. In this work, an ear...
Contrast is a very important characteristic for visual perception of image quality. Some No-Reference Image Quality Assessment Algorithm NR-IQA metrics for Contrast-Distorted Images (CDI) have been proposed in the literature, e.g. Reduced-reference Image Quality Metric for Contrast-changed images (RIQMC) and NR-IQA for Contrast-Distorted Images (NR-IQACDI). Here, we intend to improve the assessment...
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