Research On Algorithm And Application Of Fast Extraction Of Halftone Image Microstructure Information

Halftone information hiding anti-counterfeiting technology is the most popular and effective high-tech anti-counterfeiting technology with low cost and wide application range.Moreover,the anti-counterfeiting technology with high-precision scanners,photocopiers and other high-end equipment can not be copied,anti-counterfeiting performance is very strong,is the best choice for modern printing anti-counterfeiting.In view of the great importance of developing new anti-counterfeiting technology and the outstanding advantages of halftone information hiding in the field of anti-counterfeiting,this paper will do more in-depth research on the existing theoretical basis,read the anti-counterfeiting image encrypted by halftone anti-counterfeiting technology,and study the extraction of micro-structure features.A fast algorithm for extracting the microstructure information of halftone images is proposed.There are complex and regular spatial information in the image.Effective description of these abundant information can break or narrow the barrier between bottom features and high-level performance,thus improving the speed of image recognition.Firstly,this paper studies the information extraction technology of secure two-dimensional codes embedded with hidden information,then extends it to the information extraction of halftone dot image,and proposes a micro-structure information extraction algorithm for halftone dot image.Without geometric correction,image preprocessing operations such as binarization and normalization are carried out first,then feature points are extracted from the area to be recognized,and points are sampled to acquire network features.These feature points are quantitatively analyzed to find the spatial relationship between them.A relationship can be used to represent the microstructural characteristics of the region.Then,according to the spatial relationship of each dot,the halftone dot information of the image is extracted directly,and it is also applicable to the distorted graphics.This method is faster and more accurate in extracting halftone dot information,which makes halftone anti-counterfeiting technology more widely used in more fields.