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In order to classify the eaglewood, the work proposed a method of wood fiber segmentation and characteristic extraction based on the eaglewood micrographs. The active contour model was used to extract the contours of the eaglewood micrographs. After screening of wood fiber, the geometric features and shape factors were extracted to form characteristic vectors. After that, SVM was used to achieve the...
Scene text information extraction plays an important role in many computer vision applications. Most features in existing text extraction algorithms are only applicable to one text extraction stage (text detection or recognition), which significantly weakens the consistency in an end-to-end system, especially for the complex Chinese texts. To tackle this challenging problem, we propose a novel text...
Historical data sources, like medical records or biological collections, consist of unstructured heterogeneous content: handwritten text, different sizes and types of fonts, and text overlapped with lines, images, stamps, and sketches. The information these documents can provide is important, from a historical perspective and mainly because we can learn from it. The automatic digitization of these...
To address the lack of health status identification and poor stability problems in the rotating machinery equipment, this paper proposes a new method for health status identification of rolling bearing based on SVM and improved evidence theory. Firstly, in order to reflect the rolling health condition, we use the empirical mode decomposition (EMD) to extract energy value and the original part of the...
Many websites use verification codes to prevent users from using the machine automatically to register, login, malicious vote or irrigate but it brought great burden to the enterprises involved in internet marketing as entering the verification code manually. Improving the verification code security system needs the identification method as the corresponding testing system. We propose an anisotropic...
the gray gradient co-occurrence matrix based Uyghur document image retrieval method is proposed in this paper. 15 parameters of gray gradient co-occurrence matrix such as small gradient advantage, high gradient strengths, intensity in homogeneity etc are extracted separately, and document image features are matched with the characteristic distance classifier and the Euclidean distance classifier....
In this paper, four closed-set patterns in the Saudi license plates can be recognized using our system. The four closed-set patterns are the numbers and letters in both Arabic and English languages. The system is based on classifying each closed-set in a single decision tree. We applied different feature extraction methods in order to analyze each possible line crossing the images. We studied the...
Integrating legacy plant and process information into engineering, control, and enterprise systems may significantly increase the efficiency of managerial and technical operations in industrial facilities. The first step towards the pursued data integration is the extraction of relevant information from existing engineering documents, many of which are stored in vector-graphics-compatible formats...
Ballistic target recognition is a key process in anti-missile combat. In this paper, the movement characteristics and physical characteristics of ballistic target are analyzed, some ideas or methods to save extracted information, to create template sequence and to recognize ballistic target on grey relational analysis are proposed. Based on these, we give the method to calculate the grey incidence...
We describe a method for the semi-automated extraction and clustering of characters occurring in scanned topographic maps. The method takes into account the oriented strings that are frequent in topographic maps. We describe the whole application but we emphasize the module devoted to string extraction based on a suitable human vision model related to this particular problem. The experimental results...
Character recognition is an emerging area for research in terms of different languages spoken all over the world and the associated writing of them. India itself has 11 different scripts and each script has its own subscripts. This diversity gives a wide scope for research out of which devnagari script has been chosen for studying its problems and solutions for those problems. Devnagari has marathi...
The objective of this research paper is to propose a novel technique for Arabic text extraction and recognition which is a part of research work aimed at developing a system for moving Arabic video text extraction for efficient content based indexing and searching. Numerous techniques were proposed in the past for text extraction but very few of them focus on Arabic text. All the earlier proposed...
TV drama is a kind of big data, containing enormous knowledge of modern human society. As the character-centered stories unfold, diverse knowledge, such as economics, politics and the culture, is displayed. However, unless we have efficient dynamic multi-modal data processing and picture processing methods, we cannot analyze drama data effectively. Here, we adopt the recently proposed deep concept...
Historical data provide valuable information for the nderstanding of human interactions through time. However, mining this data is challenging as the available records are generally noise digitized handwritten, typewritten or press printed documents. In this research proposal, we plan to develop tools and techniques for pre-processing and extracting information from documents of the military dictatorship...
Bangla handwritten character recognition is one of the complex works because of the wide variation of the Bangla character. In this paper we proposed a new approach for extracting the features of Bangla handwritten characters and then recognition of those characters using artificial neural network has done. For the feature extraction process we have used a row and column basis segmentation process...
Feature plays a very important role in the area of image processing. Before getting features, various image preprocessing techniques like binarization, thresholding, resizing, normalization etc. are applied on the sampled image. After that, feature extraction techniques are applied to get features that will be useful in classifying and recognition of images. Feature extraction techniques are helpful...
There are some problems in the video identity recognition, such as low efficiency of data processing and instability of the identification performance. This paper designs specific links and the corresponding processes for the interested character recognition and scene tracking, which are including the construction of adaptive segmentation, video face flexible recognition, feature library model, optimizing...
In this paper we present novel algorithm for the cursive style Korean handwriting synthesis method based on the shape analysis with minimized input data. Hangul (Korean Character) has the different characteristics in structure, that is, character consists of consonants and vowels like English and also it is a combination character like Chinese character. This research aims at using minimal input character...
This paper proposes a novel stroke extraction method for the Chinese character. In our method, a Chinese character is represented as a set of triangular mesh that is generated by using the canny contour detector and the constraint Delaunay triangulation (CDT). Based on the representation, the singular regions and the sub-strokes are firstly determined by the properties of triangular mesh. The point-to-boundary...
A novel method using "color drop-out" for document images with "color shift" is proposed. Color shift phenomena sometimes occur in document images captured by a camera device or stand type scanner. It adversely affects the binarization and character recognition processes, because it generates pseudo color pixels on scanned image, which do not exist on the original document. To...
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