image shape restoration based on mathematical transformation is a successful approach to nonlinear distortions in computer vision, robot vision and patternrecognition. The key of this process is to find the distortio...
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Cluster analysis has been playing an important role in patternrecognition, image processing, and time series analysis. The majority of the existing clustering algorithms depend on initial parameters and assumptions a...
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We present a new scheme for the restoration of faxed images degraded by both salient noise and additive white noise. We consider two fundamental aspects of faxed image restoration: Modeling and the restoration algorit...
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This paper deals with the global recognition of a small lexicon of words based on a pseudo-segmentation stage introducing anchor points We avoid the diificult problem of finding the segmentation of the word into lette...
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A binarization method is presented to counter the stroke connectivity problems of characters arising from mid-level-quality binary image scanning systems. In the output of a binary image scanning system, separate stro...
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Document clustering is a powerful tool for browsing throughout a document database. Similar documents are gathered into several clusters and a representative document of each cluster is shown to users. To make users i...
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30 object reconstruction from 2 0 orthographic views has been a major research issue during the past two decades. Existing algorithms assume coordinate-based, error-free input and expert acknowledgment. The approach p...
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This paper presents a general process for an automatic reading of analog instruments. The calibration of analog watermeters serves for a demonstration of this algorithm. Reading a measuring instrument means detecting ...
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ISBN:
(纸本)081941770X
This paper presents a general process for an automatic reading of analog instruments. The calibration of analog watermeters serves for a demonstration of this algorithm. Reading a measuring instrument means detecting the position of scales and pointers in the intensity image in order to determine the value displayed by the measuring instrument. The reading process involves the detection of its boundaries, scales, pointers and lettering elements by using patternrecognition algorithms and a-priori information about the geometry and the elements of the meter. First, a validation for the correct type has to be done by checking the actual, detected elements with the elements defined in the type-description. Following the determination of the indicated measurement value, the intensity image of the watermeter is compressed and stored to ensure a given quality standard by protocolling each measurement step. The calibration process consists of five reading phases. A series of watermeters of the same type is calibrated in one run with water quality measurement. The outlined automated approach to the problem is faster, more reliable, stable and cheaper than the manual reading and checking of the meters performed now. Results concerning time, accuracy and reliability are given at the end of the paper.
Table-form document structure analysis is an important problem in the document processing domain. This paper presents a new method called Box-Driven Reasoning(BDR) to robustly analyze the structure of table-form docum...
In this paper, we propose two methods of character segmentation for Arabic handwritten characters and cursive Latin characters. Classical horizontal and vertical projections detect the lowercase writing area in lines....
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