ocr训练求教

仿照例子做了字符训练，删除了 delete_file (TrainingFileName)这一行，把图片A的两行字符分两次训练加到文件b.trf，然后在另一个程序里使用这个b.trf识别A的所有字符，但是结果只有第二次训练的字符有效，第一次训练的字符识别错了，但是在OCR训练文件浏览器里，b.trf有两次的所有字符，为什么第一次训练的字符不能识别呢？

1. * Step 0: Preparations
   
2. FontName := 'model'
   
3. *
   
4. * Step 1: Segmentation
   
5. dev_update_window ('off')
   
6. read_image (image, 'E:/学习&测试程序/halcon练习/钢印读取-代码训练/TrainCodes_ground_truth/1669094653_image.png')
   
7. get_image_size (image, Width, Height)
   
8. dev_close_window ()
   
9. dev_open_window (0, 0,  Width, Height, 'black', WindowID)
   
10. set_display_font (WindowID, 27, 'mono', 'true', 'false')
    
11. *gen_rectangle1 (ROI_0, 787.493, 126.966, 1032.9, 1266.73)
    
12. gen_rectangle1 (ROI_0, 1060.25, 406.914, 1269.43, 1243.34)
    
13. 
    
14. reduce_domain (image, ROI_0, ImageReduced)
    
15. threshold (ImageReduced, RawSegmentation, 0, 95)
    
16. fill_up_shape (RawSegmentation, RemovedNoise, 'area', 1, 5)
    
17. opening_circle (RemovedNoise, ThickStructures, 2.5)
    
18. fill_up (ThickStructures, Solid)
    
19. opening_rectangle1 (Solid, Cut, 1, 7)
    
20. connection (Cut, ConnectedPatterns)
    
21. intersection (ConnectedPatterns, ThickStructures, NumberCandidates)
    
22. select_shape (NumberCandidates, Numbers, 'area', 'and', 2000, 99999)
    
23. sort_region (Numbers, FinalNumbers, 'character', 'true', 'column')
    
24. dev_display (image)
    
25. dev_set_color ('green')
    
26. dev_set_line_width (2)
    
27. dev_set_shape ('rectangle1')
    
28. dev_set_draw ('margin')
    
29. dev_display (FinalNumbers)
    
30. *
    
31. * Step2: Training file generation
    
32. *TrainingNames := ['C','A','6', 'D', 'M', '2', '-', '4', '2']
    
33. TrainingNames := ['5','3','9', '1', '5', '1', '4', '6']
    
34. TrainingFileName := FontName + '.trf'
    
35. sort_region (FinalNumbers, SortedRegions, 'character', 'true', 'row')
    
36. shape_trans (SortedRegions, RegionTrans, 'rectangle1')
    
37. area_center (RegionTrans, Area, Row, Column)
    
38. MeanRow := mean(Row)
    
39. dev_set_check ('~give_error')
    
40. *delete_file (TrainingFileName)
    
41. dev_set_check ('give_error')
    
42. for I := 0 to |TrainingNames| - 1 by 1
    
43.     select_obj (SortedRegions, CharaterRegions, I + 1)
    
44.     append_ocr_trainf (CharaterRegions, ImageReduced, TrainingNames[I], TrainingFileName)
    
45.     disp_message (WindowID, TrainingNames[I], 'image', MeanRow - 160, Column[I] - 6, 'yellow', 'false')
    
46. endfor
    
47. *
    
48. * Step3: Training
    
49. CharNames := uniq(sort(TrainingNames))
    
50. create_ocr_class_mlp (8, 10, 'constant', 'default', CharNames, 10, 'none', 10, 42, OCRHandle)
    
51. trainf_ocr_class_mlp (OCRHandle, TrainingFileName, 200, 1, 0.01, Error, ErrorLog)
    
52. write_ocr_class_mlp (OCRHandle, FontName)

复制代码

用你的OCR助手打开*.trf文件，看看训练字符与图像是否正常。建议效果不好的用深度OCR

谢谢，去学深度学习了

楼主找到问题原因了吗？