Survey Paper | Computer Science & Engineering | India | Volume 5 Issue 4, April 2016
A Comprehensive Survey on OCR Techniques for Kannada Script
Chandrakala H T, Dr. Thippeswamy G
Abstract: In modern days, there is a pervasive inclination towards digitization of text documents for the ease of their access and maintenance. Digitized documents can be preserved for the future since this form has a longer shelf life. Optical Character Recognition (OCR) system translates a digitized text document from human readable form to machine editable codes. Many commercial OCRs are available today for documents written in English, Japanese, Chinese, Arabic and a few Indian scripts. Kannada is the official language of Karnataka, which is one of the southern states of India. Development of OCR for Kannada script is an active research area currently. Kannada language consists of a large set of characters, many of which are very similar in structure. This makes the job of developing an OCR for this language several magnitudes more complicated than for a language like English. The very fact that research on developing OCRs for Kannada language is very promising and is still emerging necessitated this survey paper. The aim of this paper is to discuss in detail the peculiarities of the Kannada script, challenges they pose for recognition, techniques reported in the literature, recognition accuracies and a comparison with other OCR systems.
Keywords: Kannada script, Preprocessing, Feature Extraction, Classification, OCR
Edition: Volume 5 Issue 4, April 2016,
Pages: 35 - 39
How to Cite this Article?
Chandrakala H T, Dr. Thippeswamy G, "A Comprehensive Survey on OCR Techniques for Kannada Script", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=NOV162366, Volume 5 Issue 4, April 2016, 35 - 39
How to Share this Article?
Similar Articles with Keyword 'Preprocessing'
Privacy Preserving Closed Frequent Pattern Mining
Towards Effective Data Preprocessing for Classification Using WEKA
Kariuki Paul Wahome, Wekesa Bongo, Dr. Rimiru Richard Maina
Similar Articles with Keyword 'Feature Extraction'
Detection of Malicious URLs using Classification Algorithm
Muskan V. Jaiswal, Dr. Anjali B. Raut
Detecting and Blocking of Malicious URL
Muskan V. Jaiswal, Anjali B. Raut
Similar Articles with Keyword 'Classification'
Comparative Analysis of AI Techniques in the Prediction of Heart Disease
A Recognition System for Handwritten Digits Using CNN
Ayesha Siddiqa, Chakrapani D S
Similar Articles with Keyword 'OCR'
Word Representation for Biomedical Textmining based on NNGM with Image to Text Conversion
Jinsha V. S., Limna Das.P
HCR Using K-Means Clustering Algorithm
Meha Mathur, Anil Saroliya
Similar Articles with Keyword 'Kannada'
A Comprehensive Study of Statistical Machine Translation for English to Kannada Language
Chitra C, Shiva Kumar K M
Mixture of Printed and Handwritten Kannada Numeral Recognition Using Normalized Chain Code and Wavelet Transform
Shashikala Parameshwarappa, B.V.Dhandra
Similar Articles with Keyword 'script'
A Survey of Thinning Techniques on Two Dimensional Binary Images
Moumita Sarkar, Santanu Chatterjee
Emotion Detector and Counsellor Chatbox