Character-recognition-source-code
所属分类：模式识别(视觉/语音等)
开发工具：matlab
文件大小：106KB
下载次数：11
上传日期：2013-10-28 13:17:30
上 传 者：
CDRush
说明： 字符识别的Matlab源码，初学人工智能的建议先做下字符识别。
(Character Recognition of Matlab source code, beginner AI recommend a lower character recognition.)
文件列表:
字符识别源码源码 (0, 2013-09-11)
字符识别源码源码\sc_demo (0, 2013-09-11)
字符识别源码源码\sc_demo\bdry_extract_3.asv (636, 2013-01-25)
字符识别源码源码\sc_demo\bdry_extract_3.m (634, 2000-09-05)
字符识别源码源码\sc_demo\bookstein.m (659, 2000-09-05)
字符识别源码源码\sc_demo\demo_1.m (1155, 2000-09-08)
字符识别源码源码\sc_demo\demo_1.m~ (1155, 2000-09-06)
字符识别源码源码\sc_demo\demo_2.m (8879, 2000-09-26)
字符识别源码源码\sc_demo\demo_2.m~ (8879, 2000-09-09)
字符识别源码源码\sc_demo\digit_100_train_easy.mat (627576, 2000-09-05)
字符识别源码源码\sc_demo\digit_100_train_hard.mat (627576, 2000-09-05)
字符识别源码源码\sc_demo\dist2.m (820, 2000-09-05)
字符识别源码源码\sc_demo\gaussker.m (115, 2000-09-05)
字符识别源码源码\sc_demo\get_samples_1.m (577, 2000-09-05)
字符识别源码源码\sc_demo\hist_cost_2.m (432, 2000-09-05)
字符识别源码源码\sc_demo\hungarian.m (11250, 2000-09-05)
字符识别源码源码\sc_demo\im.m (335, 2000-09-05)
字符识别源码源码\sc_demo\save_fish_def_3_1.mat (7288, 2000-09-05)
字符识别源码源码\sc_demo\save_fish_noise_3_2.mat (7288, 2000-09-05)
字符识别源码源码\sc_demo\save_fish_outlier_3_2.mat (8856, 2000-09-05)
字符识别源码源码\sc_demo\sc_compute.m (1963, 2000-09-06)
字符识别源码源码\sc_demo\tps_iter_match_1.m (4810, 2000-09-26)
字符识别源码源码\sc_demo\tps_iter_match_1.m~ (4810, 2000-09-26)
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Shape Context Demo
Serge Belongie (sjb@eecs.berkeley.edu)
Sept. 4, 2000
1. Information on Chui and Rangarajan data (for demo_1.m)
Each filename is of the form
save_{fish,chinese,hand}_{def,noise,outlier}_m_n.mat
The value of m refers to the test number, n refers to the test example
number. The range of m is 1-5 for deformation and outlier, 1-6 for
noise. The range of n is 1-100.
Example: save_fish_outlier_3_2.mat
This corresponds to the "fish" shape, outlier test, test no. 3 (out of
5), corresponding to 100% outlier to data ratio, example no. 2.
Each file contains the model data (x1), the target data (y2a), and in
the case of the noise test, the target data before adding noise (y2).
2. Information on Digit Matching test (for demo_2.m)
This uses test data from Yann LeCun's MNIST database; see
http://www.research.att.com/~yann/ocr/mnist/ for details.
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