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The structural feature extraction from regular-shaped rigid objects is continuously studied. Some rules based on prior knowledge are proposed to improve the effects of the same subject(1). First, some rules are introduced for recovery of the missing true features. Then, some rules for distinguishment between true features and pseudo features are proposed, which is suggested be executed in a recursive...
The structural feature extraction from regular-shaped rigid objects is studied. First, some specific measures for facilitating the conventional Randomized Hough Transform (abbr. RHT) in our application are introduced. Then, a gradient direction constraint RHT is proposed for improving the poor performance of the conventional RHT that too much false response happens in noisy real images. The basic...
The thinning methodology is novel in terms of its ability to incorporate character shape specific knowledge while constructing the thinned skeleton. But removal of spurious strokes or shape deformation in thinning is a difficult problem. In this paper, we have proposed a novel medial-axis based thinning strategy used for performing skeletonization of noisy character images. The proposed algorithm...
Mathematical formulas or expressions are essential for presenting scientific knowledge in many research documents in academic areas such as physics and mathematics. Searching for related mathematical formulas is an important but challenging problem as formulas contain both structural and semantic information. Such information is hidden inside the mathematical expressions of the formulas. To support...
With the pervasive availability of Web 2.0 and social networking sites, people can interact with each other easily through various social media. For instance, popular sites like Del.icio.us, Flickr, and YouTube allow users to comment shared content (bookmark, photos, videos), and users can tag their own favorite content. Users can also connect to each other, and subscribe to or become a fan or a follower...
In this paper, we present a novel approach for incorporating structural information into the hidden Markov modeling (HMM) framework for offline handwriting recognition. Traditionally, structural features have been used in recognition approaches that rely on accurate segmentation of words into smaller units (sub-words or characters). However, such segmentation based approaches do not perform well on...
Accurate morphological characterization of the multiple neuronal classes of the brain would facilitate the elucidation of brain function and the functional changes that underlie neurological disorders such as Parkinson's diseases or Schizophrenia. Manual morphological analysis is very time-consuming and suffers from a lack of accuracy because some cell characteristics are not readily quantified. This...
The challenging goal of designing interactive systems is to prevent faults caused by the control unit that could potentially lead to failures. When designing interactive systems, it is the behavior that is dominant in the process of modeling. Nevertheless, structural features in software application programming and their organization are seldom taken into account for test derivation. The consequence...
This paper presents our ongoing work for analyzing the power of the fuzzy texture spectrum for obtaining the patterns that determine the presence of some kind of structure within an image. Specifically, the system here proposed exploits the advantages of fuzzy techniques for obtaining the fuzzy texture spectrum patterns having outstanding power for getting stripes' image characterization. Based on...
Affordance is a feature of an object or environment that implies how to interact with it. Based on affordance theory, humans are said to perceive invariant structures for cognizing the object/environment for generating behaviors. In this paper, the authors present a method to extract invariant structures of objects from visual raw images, based on object manipulation experiences using a humanoid robot...
Structural feature extracting, recognizing and understanding of a military airfield image is an enormous project. This process runs through the low, middle and high level image processing of image understanding system (IUS). For the time being, all the researchers in the recognizing and understanding method of an airfield are mainly focusing on the recognition of airfield runways, without considering...
In real life, documents contain several font types, styles, and sizes. However, many character recognition systems show good results for specific type of documents and fail to produce satisfactory results for others. Over the past decades, various pattern recognition techniques have been applied with the aim to develop recognition systems insensitive to variations in the characteristics of documents...
In this article, we have tried to explore a new hybrid approach which well integrates the advantages of structural and statistical approaches and avoids their weaknesses. In the proposed approach, the graphic symbols are first segmented into high-level primitive like quadrilaterals. Then, a graph is built by utilizing these quadrilaterals as nodes and their spatial relationships as edges. Additional...
Many languages in Ethiopia use a unique alphabet called Ethiopic for writing. However, there is no OCR system developed to date. In an effort to develop automatic recognition of Ethiopic script, a novel system is designed by applying structural and syntactic techniques. The recognition system is developed by extracting primitive structural features and their spatial relationships. A special tree structure...
Signature identification and verification has been a topic of interest and importance for many years in the area of biometrics. In this paper we present an effective method to perform off-line signature verification and identification. To commence the process, the signature's contour is first determined from its binary representation. Unique structural features are subsequently extracted from the...
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