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VietnameseOCR

★ 72 Open GitHub ↗

Vietnamese Optical Character Recognition. It works with Vietnamese and Latin characters as well.

// repository documentation

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### VietnameseOCR - Vietnamese Optical Character Recognition

Apply Deep Learning ( CNN networks ) to train a model uses for recognizing Vietnamese characters, it works well with Latin characters.

### Dataset in big image ( 10.000 samples, 2800 x 2800 pixel)

![](https://raw.githubusercontent.com/miendinh/VietnameseOCR/master/data/vocr_dataset.png)

### Requirements
```
python 3.6.5
tensorflow
PIL
```

### Model Summary

| Layer         | Shape 		 | 	Kernel   	  |    Stride 	  |   Padding 	|   	 	 |
| -------------:| --------------:|---------------:|--------------:|------------:|-----------:|
| INPUT     	  | [28, 28, 1] 	 |			   	  | 			  |				|			 |
| CONV1			    | 				 | [3, 3, 32, 32] |  	[1, 1]    |    SAME     |   	 	 |
| POOL1         |				 |				  |               |				|			 |
| CONV2		      |				 | [3, 3, 32, 64] |     [1, 1]    |	   SAME		|			 |
| POOL2			    |				 |                |               |				|			 |
| CONV3			    | 				 | [3, 3, 64, 128]|     [1, 1]    |	   SAME		|			 |
| POOL3			    |				 |                |               |				|			 |
| FC1			      | 				 |                |               |				|			 |
| FC2			      | [625, 190]	 |                |               |				|			 |

### Results
![](https://raw.githubusercontent.com/miendinh/VietnameseOCR/master/data/cost.png)
```
Training...

......
Epoch: 38 cost = 0.312853018
Epoch: 39 cost = 0.298816641
Epoch: 40 cost = 0.293328794

Evaluation
------------------------------
Test Accuracy: 0.974867469544
```

### Training
#### Prepare dataset for training
```
git clone https://github.com/miendinh/VietnameseOCR.git
cd VietnameseOCR/data/train/characters
unzip dataset.zip
```

#### Let's train.
```
python train.py
```

#### Create you own dataset
##### Prepare fonts for generating text-image
- You could add more fonts
```
cd VietnameseOCR/data/train/characters
unzip google.zip
unzip win.zip
```
##### Create font list, then save it in fonts.list
```
source ./list.sh
```

##### Generate Text Image Dataset
```
python generate_data.py
```

### Play with pretrained model
- All pretrained weights of model is save to file vocr.brain
- Let's test with random character in dataset
```
python predict.py
```

### Further working

- [x] Character classification.
- [ ] Dataset augmentation.     
- [ ] Improve accuracy.
- [ ] Text location.
- [ ] Text recognition.
- [ ] Apply NLP for spell checking.

### References

1. [STN-OCR: A single Neural Network for Text Detection and Text Recognition](https://arxiv.org/abs/1707.08831)
2. [Automatic Dataset Augmentation](https://arxiv.org/abs/1708.08201)
3. [VGG16 implementation in TensorFlow](http://www.cs.toronto.edu/~frossard/post/vgg16/)
4. [Vietnamese Dict (VietOCR3)](https://raw.githubusercontent.com/nguyenq/VietOCR3/master/dict/vi_VN.dic)

### Author mien.hust [at] gmail [dot] com

VietnameseOCR

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