Identify The Fact Or Fiction Of Calligraphy Works Based On Computer Assistant

This paper starts with the original image of the scanned compositions, with the processing sequence of preconditioning, morphological processing, style characteristic quantization, style characteristic probability diagnoses to deal with the picture successively, and finally get all the probability of the authenticity of identification on the scanned composition with showing the suspicious evidences that support the diagnose.As a skeleton of image always stays at the middle axis of the object it appears and the pixels belonged to the collection of skeletal always defined as the center of a disk that contains a local maximization area. To find these pixels, mapping the procession of finding a maximal disk’s center in a two-dimensional space to finding the biggest elliptical projectile in the three-dimensional space in which the undersurface’s center is the target point and the undersurface is limited in the stroke of the handwriting characters. In the light of the topological structure of8-adjacent connection map, a tree node in the skeleton tree should contain the information which can map the node back to the primary position and indicate the connection state, which can make the tree and the graph to a one-to-one mapping. There are three different kinds topological structure of skeleton based on the classification of the connectivity of the collection of the points contained by the skeleton: simply-connected domain, multiply connected domain and the connected domain with ring. Also these structures are mapped to a single skeleton tree or a skeleton forest contains some local skeleton trees. And these skeleton trees or forests can be used on clearing up the needless middle axis as the different levels from the leaf nodes to the root make it easily to arrange the eliminating sequence to the abnormal skeletons. As to the edge of the Chinese characters, all the characters that contribute a point to be a node of the boundary to the background are quantized to an objective equation. The dot with a locally maximal value of the objective equation could be a point contained by the borderline. And the orientation of the edge at the point is calculated by the gradient of the straight line collected by its neighborhood’s center points.Based on the morphological characteristics, a series of rules are used to get the features that classify a calligrapher’s compose habit. There also exists three grades of stigmas need to be studied:structure form, stroke form and stroke segment form. These forms describe a whole handwriting character’s integrated layout and various integrants’layout inside the character. And these shapes could be treated as multiply feature points to judge the compose manner of a Chinese character to which could be quantized as a vector named style vector. Different characters possess diverse magnitude and normalize their style makes the diacrisis function to judge different size of characters in a uniform manner.As a result of stochastic happened of the factors that influence the composition of a calligrapher and each one of them has tiny affection independently rather than the decisive one on the procedure of producing the artwork. With regard to these peculiarities that can be described by the normal distribution that the style diagnoses function can be designed based on it. To judge the accuracy rate of the diagnose result in a equitable manner, a comprehensive diagnosis function is constructed based on the fuzzy model and make an error analysis to get a standard notifications. In the end, according to the synthesized results of the characters from the diagnose function belongs to the same calligraphy work, a general probability level that indicates the true and false of an artwork is produced.The remnants of the missing part of the endpoint are used as the initial node to the recovery curve. Then using3D interpolation curve owns the stability, extended properties and orientation symmetry properties, and these characteristics are good to the work of three-dimensional space stroke recovery.