Method for identifying forgery seal based on feature line randomly generated by matching feature points
A technology of matching features and random generation, which is applied in character and pattern recognition, computer parts, instruments, etc., and can solve problems such as stamping differences
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[0067] The working process of the technical method for automatic recognition of high-simulation counterfeit seals proposed by the present invention includes two stages of off-line learning of real seals and establishment of a database of feature points of reference seals and on-line identification of seals to be inspected. A specific embodiment is introduced below.
[0068] 1) Offline stage:
[0069] The main task of the off-line stage is to establish a reference database of real seal feature points, and store the real seal image, the position information of the feature points contained in the real seal, descriptor information and other data in the reference database. The present embodiment adopts scanner to obtain the real seal seal text (such as stamped on blank paper) figure 1 shown), extract SIFT feature points (it should be noted that this embodiment takes SIFT local feature points as an example, but this patent does not limit the use of other types of local feature poin...
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