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Authorship recognition from micro-blogs such as Twitter is a challenging task due to limitation of text length to 140 characters. However, identification of micro-blog authors is crucial in many cyber-crime investigations as well as in forensic applications. So far, traditional linguistic profiles such as Bag-Of-Words (BOW) and style-based markers have been investigated for identification of micro-blog...
This paper deals with identifying a writer from his/her offline handwriting. In a multilingual country where a writer can scribe in multiple scripts, writer identification becomes challenging when we have individual handwriting data in one script while we need to verify/identify a writer from handwriting in another script. In this paper such an issue is addressed with two scripts: English and Bengali...
This paper presents a new gesture recognition algorithm that uses different features obtained from MYO sensor. To preserve the spatial and temporal alignment for different features of each movement, Two Dimensional Principal Component Analysis 2DPCA is employed to obtain the dominant features by processing the obtained data in its 2D form. Canonical Correlation Analysis CCA is used to find a space...
Text-independent writer identification is challenging due to the huge variation of written contents and the ambiguous written styles of different writers. This paper proposes DeepWriter, a deep multi-stream CNN to learn deep powerful representation for recognizing writers. DeepWriter takes local handwritten patches as input and is trained with softmax classification loss. The main contributions are:...
This paper presents a training arena to learn freshmen to communicate as an engineer, with special focus on written communication. We use two consecutive semesters for this training.
Automated Essay Scoring (AES) has always been a difficulty in the field of language testing. The first step towards AES is scoring model generated by datasets that have already been scored artificially; however, researchers are confronted with the lack of datasets. From a mathematical point of view, in fact, only a small dataset is enough to build a scoring model, which is comparable to that generated...
This paper proposes a method for simulating human opinions about graphical artistic expressions like calligraphy using computers. Scanned images of handwriting texts from a large database are labeled as "beautiful writing" or "ugly writing" by two persons based on their own likes. Our objective is to replicate these opinions using machine learning techniques. Shape features are...
There are many modes of communication, but electronic communication is the most noted one in present. Internet is the backbone for all these communications. In digital forensics, finding out the author of a document is a big qestion, identity of the author, their demographic background, and how they are linked to other documents. So major challenges in digital forensic investigation are author identification...
The study of digital Chinese calligraphy has become more valuable nowadays. While existing researches on Chinese calligraphy analysis are primarily focused on stroke-based character recognition and simulation, we propose a global feature descriptor to deal with style recognition problem in this paper. The proposed method extracts three categories of character features: position features, proportion...
The existing works on writer identification consider global feature or local feature, respectively, but not both. Actually, both of global and local features provide the useful information for writer identification. Hence, this paper proposes a method for writer identification by using a mixture of global feature and local feature. In implementation, we utilize 2-D Gabor transformation as the global...
Writer recognition is a very important branch of biometrics. In our previous research, a Grid Micro-structure Feature (GMSF) based text-independent and script-independent method was adopted and high performance was obtained. However, this method is sensitive to pen-width variation in practical situation. To solve this problem, an inner and inter class variances weighted high-dimensional feature matching...
In this paper, we propose an overlapped handwriting input method on handheld devices, which allows users to write continuously without breaks on a single size-restricted writing area. 2 issues have been considered during the implementation of the overlapped input method: previous characters on the background may obstruct the clear viewing of current character and the messy overlapped handwriting is...
Japanese language has complex writing systems, Kanji and Kana (Katakana and Hiragana). Each one has different style of writing. One simple way to differentiate is Kanji have more strokes than Kana. Meanwhile, it needs a lot of effort to remember characters of Katakana and Hiragana, thus it will be very difficult to distinguish handwritten Katakana and Hiragana, since there are a lot of similar characters...
In this work, we developed a self-organizing map (SOM) technique for using web-based text analysis to forecast when a group is undergoing a phase change. By “phase change”, we mean that an organization has fundamentally shifted attitudes or behaviors. For instance, when ice melts into water, the characteristics of the substance change. A formerly peaceful group may suddenly adopt violence, or a violent...
Lack of spoken and written training data is one o f the main issues encountered by Arabic automatic speech recognition (ASR) researchers. Almost all written and spoken corpora are not readily available to the public and many of them can only be obtained by purchasing from the Linguistic Data Consortium (LDC) or the European Language Resource Association (ELRA). There is more shortage of spoken training...
It is showed through the practice of colleges and universities worldwide that the hardest step in the implement of general education is how to finding out an appropriate teaching method and curriculum evaluation, which also takes a crucial part in deciding the quality of the general knowledge courses. However, ordinary engineering colleges are particularly lack of the experience of introducing the...
One approach to applying keyword driven testing in a model-driven development environment is by defining a domain specific language for test cases. The toolset then provides test editors, versioning, validation, reporting and hyperlinks across models - in addition to enabling automated test execution. This case study evaluates the effectiveness of such a solution as perceived by two teams of professional...
The paper is devoted to using translation to develop techniques for teaching English as a second language. In view of the fact that in translators' training, translation is practiced at all stages and is a fairly frequent activity, it can be effectively applied for revealing gaps in the students' knowledge of English.
Style-based text authorship identification extracts features from authorship-known texts, constructs classifier and then identifies disputed texts. Authorship identification belongs to the domain of style classification and is a branch of text classification. In contrast with text classification which deals with the content of texts, authorship identification focuses on the form property of texts...
This paper proposes a novel hierarchical speaker identification method to save the speaker identification and training time, viz. First is to get a coarse decision by a fast scan all registered speakers using PCA classifier to found M possible target speakers; then is to get a final decision by the proposed Multi-Reduced Support Vector Machine (MRSVM). And the MRSVM has two reduction steps to reduce...
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