A Survey on Optical Character Recognition Techniques
Journal: International Journal of Science and Research (IJSR) (Vol.3, No. 12)Publication Date: 2014-12-05
Authors : Sarika Pansare; Dhanshree Joshi;
Page : 1247-1249
Keywords : Character Recognition; machine-encoded; OCR; Translation; Text Mining;
Abstract
This paper presents a review on Optical Character Recognition Techniques. Optical Character recognition (OCR) is a technology that allows machines to automatically recognize the characters through an optical mechanism. OCR can be described as Mechanical or electronic conversion of scanned images where images can be handwritten, typewritten or printed text. It converts the images into machine-encoded text that can be used in machine translation, text-to-speech and text mining. Various techniques are available for character recognition in optical character recognition system. This material can be useful for the researchers who wish to work in character recognition area.
Other Latest Articles
- Dairy Production Constraints in Kericho and Bomet Counties of Kenya: Evidence from Farmers Fields
- A Study on Automation of E-Procurement System
- GIS Analysis and Spatial Modelling for Optimal Oil Pipeline Route Location: A Case Study of Proposed Isiolo Nakuru Pipeline Route
- A Deep Learning Kernel K-Means Method for Change Detection in Satellite Image
- Secure Query Processing of Outsourced Data Using Privacy Homomorphism: kNN and Distance Decoding Algorithm
Last modified: 2021-06-30 21:15:01