Downloads: 2
Research Paper | Computer Science | India | Volume 10 Issue 4, April 2021
Character Recognition using KNN Algorithm
Sai Jahnavi Bachu
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
Edition: Volume 10 Issue 4, April 2021,
Pages: 714 - 718
Similar Articles with Keyword 'Classification'
Downloads: 0
Review Papers, Computer Science, India, Volume 11 Issue 7, July 2022
Pages: 1263 - 1270A Comparative Review of Recent Architectures of Convolutional Neural Networks
Kalpana Devi [2] | Aman Kumar Sharma
Downloads: 0
Research Paper, Computer Science, India, Volume 11 Issue 12, December 2022
Pages: 1060 - 1063An Effectual Cardiovascular Disease Classification Using Ensemble Classifier with Oversampling Approach
R. Saranya [5] | Dr. D. Kalaivani [4]