Description: Shape Context-based character recognition algorithm introduced in this algorithm presents a new method of calculating the similarity of shape, and put this method to target recognition field. This is the main method of similarity measure through the following steps: (1) find the matching points on the two shapes (2) the degree of deformation using the matching points on two shapes estimate. In order to solve the problem of matching points, the algorithm is described in the introduction of a vector, i.e., Shape Context, each point has a descriptive vector. Shape Context to a point as a reference point, the statistical distribution of other points around him, according to this distribution, we can know that the point in which the global feature. On both the shape and, if the matching point, their Shape Context should be similar. In this paper, in such a similarity metric Shape Context, and to identify the character, and achieved good results.
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字符识别源码源码\sc_demo\bdry_extract_3.m
................\.......\bookstein.m
................\.......\demo_1.m
................\.......\demo_1.m~
................\.......\demo_2.m
................\.......\demo_2.m~
................\.......\digit_100_train_easy.mat
................\.......\digit_100_train_hard.mat
................\.......\dist2.m
................\.......\gaussker.m
................\.......\get_samples_1.m
................\.......\hist_cost_2.m
................\.......\hungarian.m
................\.......\im.m
................\.......\README
................\.......\save_fish_def_3_1.mat
................\.......\save_fish_noise_3_2.mat
................\.......\save_fish_outlier_3_2.mat
................\.......\sc_compute.m
................\.......\tps_iter_match_1.m
................\.......\tps_iter_match_1.m~
................\sc_demo
字符识别源码源码
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