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.
Children with neurological disorder such as autism need personalized development system for their daily activities. Technology can play a significant role. This paper introduces a research to deliver personalized learning materials for children with special needs based on diverse characteristics of children. There are four parts of the system: i) identifying level of the user by using machine learning...
This paper reports and discusses on a project about designing a digital tool to support Chinese undergraduate students in reflecting on their English language (L2) learning experience. The tool namely ACTIVE was developed primarily based on a classification framework called A-S-E-R and Latent Semantic Analysis. It can automatically classify reflective L2 learning skills into four elements with each...
This research studies the author identification of Thai online messages, based on 54 writing attributes. The method in focus is writeprint matching, which employs frequent pattern mining to create the writeprint of each suspect and computes a similarity score between this writeprint and the pattern found in an anonymous message. It achieved an average accuracy of 82%, while other well-known methods,...
This paper presents a novel interactive method for recognizing handwritten words, using the inertial sensor data available on smart watches. The goal is to allow the user to write with a finger, and use the smart watch sensor signals to infer what the user has written. Past work has exploited the similarity of handwriting recognition to speech recognition in order to deploy HMM based methods. In contrast...
This study analyses the factors affecting students' academic performance that contributes to the prediction of their failure and dropout using educational data mining. This paper suggests the use of various data mining techniques to identify the weak students who are likely to perform poorly in their academics. WEKA, an open source tool for data mining was used to evaluate the attributes predicting...
Hidden Markov Models (HMM) are the widely used modeling techniques for online handwriting recognition. This paper describes both stroke based and character based methods for Assamese handwritten character recognition using HMM classifier. In stroke based method, unique strokes that are used to write the characters are grouped and then HMM modeling is done for each of these selected class of strokes...
The recognition of legal amount present on a bank cheque is a big challenge because of the structural complexity of characters and variability of writing styles in automatic bank cheque processing. This paper proposes a technique of text word recognition based on template matching technique using Correlation coefficient. We have developed a database of 61 words, combination of which can represent...
Online handwriting recognition has many applications and the recognition with high accuracy is essential. In this paper, we introduce a method for online handwriting Farsi character and number recognition using Hidden Markov Models (HMM). First we recognize handwriting direction then we get some statistical and formatting features. The letters are classified by means of these features and then we...
Writing-in-the-air (WIA) system provides a novel input experience using the fingertip as a virtual pen based on the color and depth information from only one Kinect camera. We present a new fingertip detection and tracking framework for the robust and realtime fingertip position estimation and further improve the air-writing character recognition accuracy. Firstly, we propose a new physical constraint...
The writer adaptation arisen with the appearance and the excessive use of Handheld devices. These devices are conceived to be used in diverse user settings which can be stationary or mobile. Most of the works tackle the writer adaptation in the "sitting at a desk" environment, nevertheless we notice a lack of contributions in the multi-environment context. In this paper we present a multi-environment...
Determining the individuality of handwriting in ancient manuscripts is an important aspect of the manuscript analysis process. Automatic identification of writers in historical manuscripts can support historians to gain insights into manuscripts with missing metadata such as writer name, period, and origin. In this paper writer classification and retrieval approaches for multi-page documents in the...
In this article, a novel lightweight user-adaptive online handwriting recognition scheme has been presented. The present recognition approach is stroke order free. It is based on prior identification of the set of various strokes of different shapes used in writing the characters of the underlying alphabet utilizing a representative sample database. In this approach a very small number of prototypes...
The task of writer identification is based on the assumption of individuality of handwriting. While previous studies of individuality have considered different statistical extremes: representative population of the United States and a population of twins, the present study takes a third approach-an analysis of handwriting over time, specifically children's handwriting as they develop in early grades...
Writer Identification and Verification, a behavioral bio-metric study has gained a renewed interest in research work for its promising prospect in real life applications. In current times, to the best of our knowledge there is no complete system of Writer Identification / Verification on Indic scripts including Bangla. In this paper a scheme has been proposed for individuality of handwritten and writer...
Identification of writers of handwritten historical documents is an important and challenging task. In this paper we present several feature extraction and classification approaches for the identification of writers in historical Arabic manuscripts. The approaches are able to successfully identify writers of multipage documents. The feature extraction methods rely on different principles, such as...
The goal of this paper is to identify gender of blog authors. Features such as POS tags, unigram (words+punctuations), bigrams and word classes are considered. To synthesis/rank features we are using Mutual information, Chi-square and Information gain methods. The dataset is the collection of 3227 blogs originally derived from blogs set, and among them 1679 were written by male and 1548 were written...
This work is concerned with the legibility enhancement of ancient and degraded handwritings. The writings are partially barely visible under normal white light and hence they have been imaged with a MultiSpectral Imaging (MSI) system in order to increase their legibility. Dimension reduction techniques - like Principal Component Analysis (PCA) - can be used to further enhance the contrast of the faded-out...
The present study investigates a method for the attribution of scribal hands, inspired by traditional palaeography in being based on comparison of letter shapes. The system was developed for and evaluated on early medieval Caroline minuscule manuscripts. The generation of a prediction for a page image involves writing identification, letter segmentation, and letter classification. The system then...
As user attributes are useful for applications such as personalized recommendation, adverting and so on, user attribute predication on Twitter has attracted intensive attentions in recent years. Although Chinese micro-blogging services are different from Twitter on various aspects such as language, user behaviours and so on, few efforts have been made on Chinese micro-blogging services. In this paper,...
This paper presents a framework to identify the authors of Thai online messages. The identification is based on 53 writing attributes and the selected algorithms are support vector machine (SVM) and C4.5 decision tree. Experimental results indicate that the overall accuracies achieved by the SVM and the C4.5 were 79% and 75%, respectively. This difference was not statistically significant (at 95%...
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.