Devanagari Handwriting Recognition : A Major Project

It's includes following steps:

• Data collection and Datasets Generation
• Train and Testing model

1. Data collection and Datasets Generation

• We have visited more than 30 schools with in the Pokhara valley.
• About 2000 students are involved directly during dataset collection.



• We provided students empty A4 paper and they write down characters accordingly.



• All A4 paper are scanned and converted to .tif image form.
• Image are pre-processed and characters are generated in following approach: Python implementation here

2. Train and Testing model

• Data preprocessing: We already have preprocesse data during dataset generation.
• Convolutional Neural Network is used to train our dataset. Notebook-1here



• About 99% training accuracy and 93% validation accuracy has been obtained.
• Model is overfitted,so I applied BatchNormalization and Dropout. But result is not promising.Notebook 2 here
• Further works need to be done in the area of hyperparameter tuning since the model is overfitted.
• Word and line recognition will be further research area.