Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
A word shape analysis approach to lexicon based word recognition
Pattern Recognition Letters
Summarization of imaged documents without OCR
Computer Vision and Image Understanding - Special issue on document image understanding and retrieval
Imaged Document Text Retrieval Without OCR
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Document Processing for Automatic Knowledge Acquisition
IEEE Transactions on Knowledge and Data Engineering
Measuring the Effects of OCR Errors on Similarity Linking
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Text Retrieval from Document Images Based on Word Shape Analysis
Applied Intelligence
An OCR based on character shape codes and lexical information
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
Content-Based Indexing and Retrieval Method of Chinese Document Images
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Word Spotting in Chinese Document Images without Layout Analysis
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
A comparison of discrete and continuous hidden Markov models for phrase spotting in text images
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
An Approach to Word Image Matching Based on Weighted Hausforff Distance
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Image-Based Document Vectors for Text Retrieval
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Retrieving Imaged Documents in Digital Libraries Based on Word Image Coding
DIAL '04 Proceedings of the First International Workshop on Document Image Analysis for Libraries (DIAL'04)
Information Retrieval in Document Image Databases
IEEE Transactions on Knowledge and Data Engineering
Ontology Guided Access to Document Images
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
An Integrated Scheme for Compression and Interactive Access to Document Images
ICCTA '07 Proceedings of the International Conference on Computing: Theory and Applications
A Means for Achieving a High Degree of Compaction on Scan-Digitized Printed Text
IEEE Transactions on Computers
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
A survey of keyword spotting techniques for printed document images
Artificial Intelligence Review
International Journal of Computer Applications in Technology
An approach to offline handwritten Devanagari word segmentation
International Journal of Computer Applications in Technology
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Information Retrieval (IR) in document images has become a growing and challenging problem due to its rising popularity. This paper proposes a simple and effective method to extract the text and perform intelligent IR from Tamil Document Images without Optical Character Recognition (OCR). This methodology generates a feature string for every word image by extracting its features. This relies on their basic characteristics or shapes of letters instead of recognising the letters like OCR. The strength of this technique lies in extracting the text based on their basic features such as lines and black and white disposition rates in characters which is almost same for the characters across various font sizes and font faces. As an offline process, document images are preprocessed and text extraction process extracts the features from the word images based on their shapes and they are stored in temporary files. During online retrieval, textual keyword is obtained from the user and its primitive string is framed. Based on the primitive string, IR is performed and the resultant images are provided to the user. This technique could be easily adopted in large digital libraries for IR.