Banknote image inclination correction and region extraction method

Abstract

The invention discloses a banknote image inclination correction and region extraction method, which is characterized by comprising the steps of carrying out fuzzy enhancement on an acquired banknote image, and enhancing a contrast ratio between a banknote and a banknote background color or pattern; segmenting the banknote image, wherein the banknote image is segmented into a banknote background region and a banknote region; scanning to acquire edge pixels of an image of the banknote region; acquiring image edges of the banknote region by adopting least square method straight line fitting if the banknote edges are uneven or zigzag-shaped, calculating fitting errors of the image edges of the banknote region, and calculating an inclination angle of the image of the banknote region according to the image edge, whose fitting error is minimum, of the banknote region; carrying out inclination correction on the image of the banknote region according to the inclination angle of the image of the banknote region, and rotating the inclined image of the banknote region into a horizontal image; and extraction the banknote region. According to the invention, fuzzy enhancement is carried out on the banknote image, the banknote edges are acquired by least square method straight line fitting, the accuracy in inclination correction for the banknote image is improved, and the extraction effect of the banknote region is good.

Description

technical field [0001] The invention relates to a computer image processing technology, in particular to a banknote image tilt correction and area extraction method. Background technique [0002] Currency is the medium of commodity exchange and the companion of human economic development and trade process. Paper money occupies an important position in the long history of currency. With the circulation and development of various forms of currency, even today when electronic money begins to rise, cash circulation of paper money is still the most important way of currency circulation in the international financial circle. At present, people often use methods such as magnetic ink detection, ultraviolet fluorescence detection and infrared penetration detection to identify the authenticity of banknotes, and identify the face value by detecting the size of banknotes. These methods obtain single information and cannot identify incomplete, polluted and worn banknotes, let alone ident...

AI Technical Summary

Problems solved by technology

However, there are two reasons that affect the accuracy of Hough transform to extract the edges of banknotes: one is that after the banknotes have been used for a long time, the edges become old and the contrast with the background is not obvious; An error occurred, the skew correction failed, and the banknote area could not be extracted

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