A Deep Learning Approach for Recognizing Bengali Characters and Numbers

Bengali is one of the world’s most widely spoken languages. However, it is a challenging issue to recognize Bengali Alphabet and Numbers from handwritten documents. It has 50 fundamental alphabets and 10 Fundamental Numbers. Because of their diverse sizes, similarities between alphabets, and distinct writing methods, recognizing the Bengali handwritten Alphabet and Numbers is a difficult task. In this research, a deep learning-based approach is proposed where Convolutional Neural Network (CNN) and Bidirectional LSTM (BiLSTM) are combined to form the CNN-BiLSTM Model, and the classification of that model is followed by a Multi Support Vector Machine (M-SVM). The model works in a good manner to recognize Bengali Characters as well as Bengali Numbers. It also visualized how the models independently…