Archive for: November 2017

Handwriting Rec. – CNN Testing

Old French document
Convolutional Neural Network Testing Now, we have some trained models and need to know how well they perform on unseen data. As, Dr.Jason Brownee wrote : “Why can’t you prepare your machine learning algorithm on your training dataset and use predictions from this same dataset to evaluate performance? The...

Handwriting Rec. – Dataset generation

Dataset generation As we wrote in the first article, there are multiple databases available for working on the field of optical or handwritten character recognition. But, why not create your own database that meets your criteria. After implementing and exploring some of your ideas, you can always adapt the...

Handwriting Rec. – Orientation detection

Orientation detection After detecting and correcting the skew of the scanned document, a question arises. Is it in the right direction? Is it right side up or upside down? In 2010, in their article “Combined orientation and skew detection using geometric text-line modeling”, Joost van Beusekom, Faisal Shafait and...


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