Correlation algorithm of recognition of character information with low-complexity of technical implementation
DOI:
https://doi.org/10.15587/1729-4061.2013.14848Keywords:
recognition of the character information, correlation coefficient, binarization of an image, minimum distance, algorithmAbstract
Currently in machine vision systems a problem of recognition of the character information has become urgent. The solution to this problem is necessary for the recognition of license plates, labels on containers and railway cars, analysis of text documents, identification of the character information on printed boards and electronic components, etc.
Optimum matching algorithm providing the highest probability of correct discrimination consists in calculating of the correlation coefficient between the recognizable symbol and the set of all patterns.
The article presents a simple algorithm to recognize the character information that does not use the advance segmentation and contour filtering. The proposed recognition algorithm allows in one iteration to determine the coordinates of the characters corresponding to one specific pattern.
The obvious advantage of this algorithm is the absence of multiplications. This reduces the computational complexity of the algorithm due to the lack of multiplication operations and reduction of the total number of additions. Thus, the proposed algorithm has low complexity of the technical implementation.
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