ID-Card-Segmentation

Segmentation of ID Cards using U-Net

U-Net Architecture

Our Result's

Requirements

• Tensorflow-GPU 1.12
• Keras 2.1
• OpenCV 3.4.5
• Numpy 1.16

Dataset

• Download Dataset

python dataset/download_dataset.py

• Combine To single npy file (First Download the dataset)

python dataset/stack_npy.py

Train Model

• Start Training

python model/train.py

Training data in 100 epochs. This data was trained on google colab

Test Model

python test_model.py

Benchmarks

IoU Loss

Binary Accuracy

Val IoU Loss

Val Binary Loss

Citation

Please cite this paper, if using midv dataset, link for dataset provided in paper

@article{DBLP:journals/corr/abs-1807-05786,
  author    = {Vladimir V. Arlazarov and
               Konstantin Bulatov and
               Timofey S. Chernov and
               Vladimir L. Arlazarov},
  title     = {{MIDV-500:} {A} Dataset for Identity Documents Analysis and Recognition
               on Mobile Devices in Video Stream},
  journal   = {CoRR},
  volume    = {abs/1807.05786},
  year      = {2018},
  url       = {http://arxiv.org/abs/1807.05786},
  archivePrefix = {arXiv},
  eprint    = {1807.05786},
  timestamp = {Mon, 13 Aug 2018 16:46:35 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1807-05786},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}