Character Recognition using KNN Algorithm
Abstract: Optical Character Recognition System offers the human machine interaction which is commonly used for several important applications. A lot of study has been conducted to accomplish the work on character recognition in different languages. This paper represents a technique for recognizing the characters from an image with noise using Optical Character Recognition (OCR). The important steps of this system are pre-processing of the text including converting the text image to black/white and remove the noise from the text image, segmentation of the text image to each character, Feature Extraction using KNN and classification. The System is implemented using Anaconda software application program. Noise is removed from all the text images. The quality ofthe input document is very important to achieve high accuracy rate.
Keywords: Classification, Extraction, Noise Removal, Optical Character Recognition, Segmentation
How to Cite?: Sai Jahnavi Bachu, "Character Recognition using KNN Algorithm", Volume 10 Issue 4, April 2021, International Journal of Science and Research (IJSR), Pages: 714-718, https://www.ijsr.net/getabstract.php?paperid=SR21411160201, DOI: https://dx.doi.org/10.21275/SR21411160201