A semi-automatic adaptive OCR for digital libraries

Authors:
Sachin Rawat;K. S. Sesh Kumar;Million Meshesha;Indraneel Deb Sikdar;A. Balasubramanian;C. V. Jawahar
Affiliations:
Centre for Visual Information Technology, International Institute of Information Technology, Hyderabad, India;Centre for Visual Information Technology, International Institute of Information Technology, Hyderabad, India;Centre for Visual Information Technology, International Institute of Information Technology, Hyderabad, India;Centre for Visual Information Technology, International Institute of Information Technology, Hyderabad, India;Centre for Visual Information Technology, International Institute of Information Technology, Hyderabad, India;Centre for Visual Information Technology, International Institute of Information Technology, Hyderabad, India
Venue:
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Year:
2006

Citing 10
Cited 2

On the Recognition of Printed Characters of Any Font and Size

IEEE Transactions on Pattern Analysis and Machine Intelligence
The indexing and retrieval of document images: a survey

Computer Vision and Image Understanding - Special issue on document image understanding and retrieval
Quality of OCR for degraded text images

Proceedings of the fourth ACM conference on Digital libraries
Twenty Years of Document Image Analysis in PAMI

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Statistical, Nonparametric Methodology for Document Degradation Model Validation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing

Digital Image Processing
A New Textual/Non-Textual Classifier for Document Skew Correction

ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
A Bilingual OCR for Hindi-Telugu Documents and its Applications

ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Recognition of Printed Amharic Documents

ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Learning to segment document images

PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence

A new generation of textual corpora: mining corpora from very large collections

Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Self adaptable recognizer for document image collections

PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a novel approach for designing a semi-automatic adaptive OCR for large document image collections in digital libraries. We describe an interactive system for continuous improvement of the results of the OCR. In this paper a semi-automatic and adaptive system is implemented. Applicability of our design for the recognition of Indian Languages is demonstrated. Recognition errors are used to train the OCR again so that it adapts and learns for improving its accuracy. Limited human intervention is allowed for evaluating the output of the system and take corrective actions during the recognition process.