Bilingual Visual Script Proof Based on Pre-trained Clustering and Neural Network

Handwritten script notification is an active and puzzling investigation area in computer vision and form identification. It has several benefits, such as assisting in the interpretation of bank cheques, distinguishing typescripts from form applications, and many others. Neural networks are used, striving to recognize handwritten characters for English alphabets. A dataset of written alphabets from different people was sampled and collected which contained English alphabets. These written samples were then used to train the neural network. The extraction of the desired script from the background was achieved by k-means, and hierarchical and fuzzy-c means clustering algorithms. These segmented from the clustering algorithm were then compared to find the best algorithm giving the optimal Result.