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Biometric identification verifies user identity by comparing an encoded value with a stored value of the concerned biometric characteristic. Multimodal person authentication system is more effective and more challenging. The fusion of multiple biometric traits helps to minimize the system error rate. The benefit of energy compaction of transforms in higher coefficients is taken here to reduce the...
Online signature recognition is one of the important behavioral biometric trait. This signature has information of x, y, z variations, pressure, azimuth of pen tip, altitude of pen tip. This makes online handwritten signature based biometric system more accurate than the static ones. In this paper new set of features are proposed for online or dynamic signature recognition. Geometric centers, Grid...
We explore the feasibility of measuring learner engagement and classifying the engagement level based on machine learning applied on data from 2D/3D camera sensors and eye trackers in a 1:1 learning setting. Our results are based on nine pilot sessions held in a local high school where we recorded features related to student engagement while consuming educational content. We label the collected data...
Karyote segmentation, a significant procedure to computer aided leukemia diagnosis, constitutes a difficult problem due to the morphological complexity, categorical diversity and distributional density of bone marrow cells. Most of the current techniques are based on the internal consistency of the karyote's intensities with little or none considerations on color or texture properties. However, neither...
This paper introduces the Chinese chess recognition algorithm based on computer vision and image processing. In order to simplify processing and enhance efficiency, the images of chessboard and chessman need preprocessing in advance. The steps of preprocessing include of transformation from color images to gray images, images filtering with mean filter or median filter, and binaryzation of the gray...
In this paper a game for working memory assessment in children between 4 to 7 years old is introduced. We evaluate the validity of the game as an assessment tool by comparing its results on a group of pre-school children with a commercially validated working memory test. Since the correctness of an assessment highly depends on the attentional state of the subject, several algorithms have been developed...
Script identification is a complex real life problem for automation of printed or handwritten document processing. The task becomes more challenging when it comes about a multi script/lingual country like India. For the development of OCR for a particular language the script needs to be identified first. That is why development of a script identification system is a pressing need. Till date no such...
The classification performance of previous IG algorithm may decline obviously because of the maldistribution of classes and features, due to which an improved text feature selection method UDsIG is proposed. First, we select features by classes to reduce the impact on feature selection when the classes are unevenly distributed. After that, we use feature equilibrium of distribution to decrease the...
In this paper, we propose an improved SIFT algorithm based on FAST corner detection. We first estimate the level of the pyramid by the size of the image. Then, at each level, we estimate the threshold by the image content. By the threshold, we implement the FAST corner detection. At each level, the FAST corner detection, generation of SIFT descriptors and coordinate mapping are implemented by Wagner's...
Stroke-density based elastic meshing method can not only absorb the deformations of stroke in different handwritings but also avoid the non-uniform width of strokes which caused by using a nonlinear normalization method. In view of existing situation that the stroke density functions do not consider the distribution of strokes in diagonal direction, the stroke-density based vertical-horizontal elastic...
In this research we propose to use EEG signal to classify two emotions (i.e., positive and negative) elicited by pictures. With power spectrum features, the accuracy rate of SVM classifier is about 85.41%. Considering each pair of channels and different frequency bands, it shows that frontal pairs of channels give a better result than the other area and high frequency bands give a better result than...
The elementary technology for video retrieval technique in computing is very sensitive to the user's query not to the contents of video. Every user has perspective to the video in the world of videos. So to identify this is difficult using text based video retrieval as this retrieval is based on text as processing input for video retrieval. The better approach for this video retrieval is content based...
This paper proposes a new feature-goodness criterion named class-wise information gain (CIG). The CIG is able to measure the goodness of a feature for recognizing a specific class, and further helps to select the features with the highest information content for a specific class. In order to confirm the effectiveness of the CIG, a CIG-based malware detection method is proposed. Eight groups of experiments...
At present, computer graphics is widely used in various aspects in our daily life. Hence the course is becoming more and more essential, while many students don't know how to study this course, their interests are lost because of awful grades. So how to learn computer graphics is essential now. This paper introduces a method, which is a progressive method on studying and practicing of computer graphics.
Children really enjoy painting. Painting is not only full of fun but also beneficial for children to further develop their physical skills (e.g., hand eye coordination, fine motor skills, and gross motor skills), express their creativity, boost their self-confidence, etc. On the other hand, storytelling is also a joyful and educational activity for children. In this paper, we develop an interactive...
This paper presents a unified action recognition framework combining harris3D descriptor with 3D SIFT detector. We perform action recognition experiments on the KTH dataset using Support Vector Machines. Experiments apply the leave-one-out and compare our proposed approach with state-of-the-art methods. The result shows that our proposed approach is effective. Compared with other approaches our approach...
A main challenge facing the law-enforcement and intelligence-gathering environment is accurately and efficiently analyzing the huge volumes of data. Analyzing crime data can be difficult because of recognizing key features and transactions among the large amounts of data, of which only a small section is relevant to illegal process. An intelligent forensic system (IFS) is a powerful medium that enables...
Background subtraction method is a tracking method only based on motion information. It cannot make a distinction between the foreground objects detected. The feature-based tracking methods need to select the appropriate prediction and search algorithm. But the algorithm complexity and amount of computation is large for the multi-target tracking. Therefore, this paper presents the method based on...
The authentication and classification of Visual arts used to be depended on the judgment of the artist himself according to experience and knowledge of the artwork and its artist. Recently, the development of computer and image processing technology has made the processing of digital visual artworks possible. More and more museums and libraries have their collections to be digitalized, which make...
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