作者: Bineet Kumar Jha , Shilpa Mangesh Pande
DOI: 10.1109/ICCMC51019.2021.9418028
关键词:
摘要: It is a very difficult task to manually process the handwritten documents due varieties of scripts and lack associated language dictionary interpret documents. Most large companies as well small-scale industries want automate script recognition. The big challenge make machines recognize hand-printed scripts. Humans can or words after gaining knowledge specific language. In same way, should be trained This transferring human computers automated. proposed research work attempts character recognition system for Devanagari using various machine learning classifiers like Decision Tree classifier, Nearest Centroid K Neighbors Extra Trees Random Forest classifier. performance all evaluated accuracy parameter success criteria. classifier proved better than other with 78% 77% respectively. robustness picture quality, writing style, font size novelty OCR which makes it ideal use.