本代码采用神经网络的方法进行数字识别。首先采用神经网络的算法对0到9数字进行训练，然后对图像进行分割，把图像中的文字和数字分离出来，最后对每个块进行识别。
资源文件列表
code/1.jpg , 270097
code/check.m , 1848
code/DetectTextB.m , 4422
code/E52net.mat , 101605
code/E52PT.mat , 13613
code/numbers/0/img0-01.png , 339
code/numbers/0/img0-02.png , 990
code/numbers/0/img0-03.png , 1118
code/numbers/0/img0-04.png , 1158
code/numbers/0/img0-05.png , 1057
code/numbers/0/img0-06.png , 991
code/numbers/0/img0-07.png , 1021
code/numbers/0/img0-08.png , 988
code/numbers/0/img0-09.png , 1069
code/numbers/0/img0-10.png , 1030
code/numbers/0/img0-11.png , 1142
code/numbers/0/img0-12.png , 1087
code/numbers/0/img0-13.png , 1102
code/numbers/0/img0-14.png , 876
code/numbers/0/img0-15.png , 960
code/numbers/0/img0-16.png , 1021
code/numbers/0/img0-17.png , 979
code/numbers/0/img0-18.png , 1068
code/numbers/0/img0-19.png , 1093
code/numbers/0/img0-20.png , 853
code/numbers/0/img0-21.png , 976
code/numbers/0/img0-22.png , 980
code/numbers/0/img0-23.png , 233
code/numbers/0/img0-24.png , 1041
code/numbers/0/img0-25.png , 1015
code/numbers/0/img0-26.png , 1050
code/numbers/0/img0-27.png , 1034
code/numbers/0/img0-28.png , 1042
code/numbers/0/img0-29.png , 1006
code/numbers/0/img0-30.png , 1046
code/numbers/0/img0-31.png , 1103
code/numbers/0/img0-32.png , 1040
code/numbers/0/img0-33.png , 1182
code/numbers/0/img0-34.png , 1179
code/numbers/0/img0-35.png , 997
code/numbers/0/img0-36.png , 1196
code/numbers/0/img0-37.png , 1158
code/numbers/0/img0-38.png , 1113
code/numbers/0/img0-39.png , 986
code/numbers/0/img0-40.png , 1042
code/numbers/0/img0-41.png , 991
code/numbers/0/img0-42.png , 1088
code/numbers/0/img0-43.png , 1100
code/numbers/0/img0-44.png , 1131
code/numbers/0/img0-45.png , 892
code/numbers/0/img0-46.png , 980
code/numbers/0/img0-47.png , 1002
code/numbers/0/img0-48.png , 1073
code/numbers/0/img0-49.png , 1032
code/numbers/0/img0-50.png , 976
code/numbers/1/img1-01.png , 307
code/numbers/1/img1-02.png , 456
code/numbers/1/img1-03.png , 459
code/numbers/1/img1-04.png , 421
code/numbers/1/img1-05.png , 476
code/numbers/1/img1-06.png , 492
code/numbers/1/img1-07.png , 437
code/numbers/1/img1-08.png , 426
code/numbers/1/img1-09.png , 421
code/numbers/1/img1-10.png , 437
code/numbers/1/img1-11.png , 412
code/numbers/1/img1-12.png , 432
code/numbers/1/img1-13.png , 380
code/numbers/1/img1-14.png , 394
code/numbers/1/img1-15.png , 403
code/numbers/1/img1-16.png , 382
code/numbers/1/img1-17.png , 396
code/numbers/1/img1-18.png , 396
code/numbers/1/img1-19.png , 437
code/numbers/1/img1-20.png , 534
code/numbers/1/img1-21.png , 534
code/numbers/1/img1-22.png , 435
code/numbers/1/img1-23.png , 416
code/numbers/1/img1-24.png , 306
code/numbers/1/img1-25.png , 312
code/numbers/1/img1-26.png , 262
code/numbers/1/img1-27.png , 806
code/numbers/1/img1-28.png , 786
code/numbers/1/img1-29.png , 392
code/numbers/1/img1-30.png , 394
code/numbers/1/img1-31.png , 244
code/numbers/1/img1-32.png , 244
code/numbers/1/img1-33.png , 273
code/numbers/1/img1-34.png , 273
code/numbers/1/img1-35.png , 345
code/numbers/1/img1-36.png , 437
code/numbers/1/img1-37.png , 448
code/numbers/1/img1-38.png , 437
code/numbers/1/img1-39.png , 448
code/numbers/1/img1-40.png , 437
code/numbers/1/img1-41.png , 489
code/numbers/1/img1-42.png , 395
code/numbers/1/img1-43.png , 477
code/numbers/1/img1-44.png , 530
code/numbers/1/img1-45.png , 534
code/numbers/1/img1-46.png , 372
code/numbers/1/img1-47.png , 223
code/numbers/1/img1-48.png , 473
code/numbers/1/img1-49.png , 485
code/numbers/1/img1-50.png , 345
code/numbers/10/img10-01.png , 400
code/numbers/10/img10-02.png , 601
code/numbers/10/img10-03.png , 273
code/numbers/10/img10-04.png , 343
code/numbers/10/img10-05.png , 634
code/numbers/10/img10-06.png , 388
code/numbers/10/img10-07.png , 488
code/numbers/10/img10-08.png , 410
code/numbers/10/img10-09.png , 763
code/numbers/10/img10-10.png , 403
code/numbers/10/img10-11.png , 491
code/numbers/10/img10-12.png , 538
code/numbers/10/img10-13.png , 171
code/numbers/10/img10-14.png , 374
code/numbers/10/img10-15.png , 553
code/numbers/10/img10-16.png , 347
code/numbers/10/img10-17.png , 631
code/numbers/10/img10-18.png , 374
code/numbers/10/img10-19.png , 1403
code/numbers/10/img10-20.png , 449
code/numbers/10/img10-21.png , 910
code/numbers/10/img10-22.png , 1843
code/numbers/10/img10-23.png , 1178
code/numbers/10/img10-24.png , 460
code/numbers/10/img10-25.png , 157
code/numbers/10/img10-26.png , 542
code/numbers/10/img10-27.png , 414
code/numbers/10/img10-28.png , 439
code/numbers/10/img10-29.png , 368
code/numbers/10/img10-30.png , 361
code/numbers/10/img10-31.png , 451
code/numbers/10/img10-32.png , 484
code/numbers/10/img10-33.png , 481
code/numbers/10/img10-34.png , 396
code/numbers/10/img10-35.png , 372
code/numbers/10/img10-36.png , 439
code/numbers/10/img10-37.png , 415
code/numbers/10/img10-38.png , 1221
code/numbers/10/img10-39.png , 398
code/numbers/10/img10-40.png , 354
code/numbers/10/img10-41.png , 394
code/numbers/10/img10-42.png , 167
code/numbers/10/img10-43.png , 525
code/numbers/10/img10-44.png , 397
code/numbers/10/img10-45.png , 336
code/numbers/10/img10-46.png , 380
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