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This work present new parameters based on biometrie handwritten information for the writer identification. The feature extraction is developed by new algorithms based on image processing techniques. The handwritten parameters will be classified by artificial neural network and fusion strategy in order to increase the accuracy. After experiments, and using a dataset composed by 100 writers, this proposal...
This paper introduces to diagnosis of Dyslexia using computing system, considered people difficulties in reading, spelling, writing and speaking. Consequently, a computational analysis classifier will be achieved using dyslexia metrics techniques. Accordingly, Gibson test of brain skills will be used with effect of working memory, auditing (hearing and speech) and visual memory and cognition, visual...
Social networks have a large amount of data available, but often, people do not provide some of their personal data, such as age, gender, and other demographics. Although the sentiment analysis uses such data to develop useful applications in people’s daily lives, there are still failures in this type of analysis, either by the restricted number of words contained in the word dictionaries or because...
This paper proposes a model for an offline handwritten Khmer character recognition. We make use of two dimensional Fourier transformation for feature selection and feed-forward Artificial Neural Net as classification tool. The recognition system allows using the nature of Khmer writing, which is an example of alphasyllabary (Abugida) writing systems. The recognition of the normalized handwritten images...
The detection and reconstruction of electromyographic signals become a major issue in the biomedical field since they are a necessary source of information in many clinical and industrial applications. People with disabilities or suffering from various neurological diseases are facing so many difficulties resulting from problems located at the muscle stimuli (ElectroMyoGraphic EMG signals) or signals...
In this work is proposed a writer identification approach based on graphometrical and forensic features. The proposal replies to an off-line system, where the handwriting is provided before to perform the analysis. An Artificial Neural Network is used as classifier and after the decision fusion module, the system reaches up to 94.6% of success rate for a own database composed by 100 users with 10...
In this paper, we discuss the change of page number and image processing methods for discrimination between behaviors in reading contents and taking notes for contents on the display. First, scene images for contents can be recorded by a sunglasses-type camera. Next, a few features can be extracted based on color information from these images and the discrimination procedure can be executed by the...
Handwriting process is one of the most complex processes of our biological repertory. Modelling of such process remains difficult to implement. Several approaches were proposed in the literature. However, the validation results of these models remain less or more satisfactory and the basic models were the subject of improvement in the objective to approach reality as much as possible. This paper deals...
Artificial neural networks are used to classify the writing system of an unseen glyph. The complexity of the problem necessitates a large network, which hampers the training of the weights. Three hybrid algorithms — combining evolution and back-propagation learning — are compared to the standard back-propagation algorithm. The results indicate that pure back-propagation is preferable to any of the...
English-speaking students in courses on cross-cultural communication often comment on how little actual contact they have had with people from other cultures. Similarly, students in English for Academic Purposes for nonnative speakers courses relate how hard it is to connect with native English speakers. De-spite obvious mutual benefit, there is seldom a close relationship between instructors of regular...
This paper discusses the rendering issues of complex text layout - traditional Mongolian script. The traditional Mongolian script has been standardized in Unicode. We analyzed existing Open Type fonts and their rendering schemes for traditional Mongolian script. We found some errors, and discovered grammatical rules, which are not documented in international standards. None of the existing Open Type...
It has been 50 years since the idea popped up that calculating systems can be made on the replica of the biological neural networks. Still, the development of this science branch made the improvement of these systems possible only in the last 25-30 years. Nowadays, neural computing is a very extensive, separate science. Its solid theory basis made it possible to use them to solve many kind of problems...
Being able to search for words or phrases in historic handwritten documents is of paramount importance when preserving cultural heritage. Storing scanned pages of written text can save the information from degradation, but it does not make the textual information readily available. Automatic keyword spotting systems for handwritten historic documents can fill this gap. However, most such systems have...
For many years, researchers have presented the geocoding of postal addresses as a challenge. Several research works have been devoted to achieve the geocoding process. This paper presents theoretical and technical aspects for geolocalization, geocoding, and record linkage. It shows possibilities and limitations of existing methods and commercial software identifying areas for further research. In...
Existing preference models are generally based on utility functions and study rational behaviors of humans. However human preferences are actually accompanied with irrational factors. Psychologists Tversky and Kahneman have given some examples that indicate humans are simply irrational by the standards of the utility axioms. How to depict some non-rational decision of human - that is, by what function...
Observation of presentations at a conference in the field of network and sensor engineering (ICNSC 2009), and a survey from participants at a conference on fuzzy and artificial intelligence and neural networks (19th Intelligent System Symposium), both hosted by IEEE-affiliated units in Japan, along with findings from recent research on the intelligibility of the English of non-native speakers in international...
A well known characterization of regular languages is provided by Nerode's Theorem. However, the pumping lemma is often a more useful tool in demonstrating properties of regular languages. In this paper, we rewrite an early pumping characterization of regular languages due to Stanat and Weiss so that some extra condition is made explicit in the theorem. This should allow for writing simpler proofs...
Person identification as a security means has a variety of important applications. Many techniques and automated systems have been developed over the past few decades; each has its own advantages and limitations. There are often trade-offs amongst reliability, the ease of use, ethical/human rights issues, and acceptability in a particular application. Multimodal identification and authentication can,...
This paper presents an efficient online handwritten character recognition system for Malayalam characters (OHR-M) using Kohonen network. It would help in recognizing Malayalam text entered using pen-like devices. It will be more natural and efficient way for users to enter text using a pen than keyboard and mouse. To identify the difference between similar characters in Malayalam a novel feature extraction...
Automatic essay scoring (AES) system is a very important research tool for educational studies. Many studies indicate that current AES systems should be able to analyze semantic characteristics of an essay and include more such features to score essays. This study proposes a novel method which uses the similarity between the paragraphic conceptual connections in different essays to predict the scores...
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