Trademark graphic similarity comparison method
A graphic similarity and trademark technology, applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve practical functions, low missed detection rate, and good robustness
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Embodiment 1
[0032] as attached figure 1 As shown, a method for comparing similarity of trademark graphics in this embodiment includes:
[0033] S101, input the picture to be checked and the commodity category information, and establish or retrieve the corresponding trademark graphic database;
[0034] S102, performing preprocessing on the image to be inspected to form an image of the trademark to be inspected;
[0035] S103, performing feature extraction on the image of the trademark to be inspected and the trademark in the trademark graphic database;
[0036] S104, performing feature matching on the feature extracted in S103 and the feature extracted in the trademark graphic database, to obtain a similar matching pair set;
[0037] S105, screening the matching pairs in S104, and sorting the screened results according to the order of similarity from high to low, to obtain the result picture sequence.
[0038] In this embodiment, the manner of the similarity of feature extraction in the...
Embodiment 2
[0040] In this embodiment 2, on the basis of embodiment 1, in the step S105, screening is performed based on the RANSAC algorithm to eliminate the wrong matching pairs, which helps to reduce the amount of redundant calculations caused by the wrong matching pairs, thereby improving efficiency and improving accuracy.
Embodiment 3
[0042] Present embodiment 3 makes a change on the basis of embodiment 2, and for the result picture sequence, specifically adopt the following methods to obtain:
[0043] At first, in S101, set up the database D={D that comprises N trademark images 1 ,D 2 ,...,D N}, input the trademark Q to be retrieved.
[0044] Then, multi-scale feature extraction is performed in S103,
[0045] 1. Customize the specifications and sliding steps of the multi-scale sliding window: set the input image I w×h , the multiple scale definitions of the sliding window are as attached figure 2 , (in this example, σ 1 = 0.8, σ 2 =0.6,σ 3 =0.4), the sliding step size parameter μ (in this embodiment, μ is taken as 0.1), the sliding window horizontal step size step x =wμ, vertical step size step y = hμ.
[0046] 2. According to the size of the multi-scale sliding window defined above, each sliding window is represented by image I w×hThe upper left corner is the starting point, according to the s...
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