PERFORMANCE ANALYSIS OF K-NEAREST NEIGHBOURS ALGORITHMS FOR AUTOMATIC HANDWRITTEN DEVANAGARI TEXT GENERATIONIN MARATHI STYLES
Vajid Khan, Dr.Yogesh Kumar Sharma · Journal of Critical Reviews · 2020
The Devanagari scripts forms the backbone of the orthography of several Indian languages includes Hindi, Sanskrit and Marathi. With the increased demand, exploration and globalization of digital Devanagari documents, different printed and handwritten document recognition techniques have involved since last 20 years. In this paper recognition process is working with the four different stages such as pre-processing, segmentation, feature extraction and recognition with text generation. It works supported the 2 phases like training and testing phase. The proposed method is implemented within the python platform and it compared with the Artificial Neural Network (ANN) and K-Nearest Neighbours (KNN). The performance of the proposed method is analysed with statistical measurements of accuracy, precision and recall.