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Hi Mamadou,this sounds very interesting. How did you do the training and accuracy measurements? What parameters did you use for the model?Thanks, byeLorenzo
Il giorno lun 27 mag 2019 alle ore 07:38 Mamadou <diopm...@doubango.org> ha scritto:
--Hello,We have open sourced (BSD license) MRZ/MRP (Machine-readable zone/passport) dataset and models for Tesseract v4.The dataset contains more than #7 thousands images (.tif) with ground truth (.gt.txt) from Google image augmented with few synthetic data.It's ready to be used to train with Tesseract v4.If you're lazy and don't want to train the models by yourself then, try the ones under tessdata_best (float-model) or tessdata_fast (int-model) folders.Accuracy: 99.7%Source code: https://github.com/DoubangoTelecom/tesseractMRZRegards,
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