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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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....
This paper presents a page segmentation method called block selection which not only segments the page image into categorized blocks but also provides a novel tree structure to represent the page blocks for the ease s...
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The approach in this paper focuses on the contextual postprocessing by selecting the most feasible word from multiple output strings of an OCR system. The correction is applied only when the selection fails. The selec...
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We present a formal model for processing grayscale images of business forms such as bank cheques. The formal model is based on a new hybrid-based approach namely the base lines. In fact, to segment handwritten and han...
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Model-based column segmentation is described. Sequences of horizontal white space across a column are used as the basic features. Structures of columns in a specific publication are described by two levels of regular ...
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A method for recognizing unconstrained handwritten words belonging to a small static lexicon is proposed. Our computational theory is based on a psychological model of the reading process of a fast reader. The method ...
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