Intelligent forms processing system
Machine Vision and Applications - Special issue: document image analysis techniques
Extraction of data from preprinted forms
Machine Vision and Applications - Special issue: document image analysis techniques
Layout Recognition of Multi-Kinds of Table-Form Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Generic System for Form Dropout
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Analysis in Extraction of Reference Lines from Documents with Gray Level Background
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection of Text Regions From Digital Engineering Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
A system for automatically reading IATA flight coupons
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Segmentation of Text from Color Map Images
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
String Extraction From Color Airline Coupon Image Using Statistical Approach
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Reference Line Extraction from Form Documents with Complicated Backgrounds
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Pattern Recognition Methods for Querying and Browsing Technical Documentation
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
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Correlation has been used extensively in object detection field. In this paper, two kinds of correlation filters, Minimum Average Correlation Energy (MACE) and Extended Maximum Average Correlation Height (EMACH), are applied as adaptive shift locators to detect and locate smudgy character strings in complex tabular color flight coupon images. These strings in irregular tabular coupon are computer-printed characters but of low contrast and could be shifted out of the table so that we cannot detect and locate them using traditional algorithms. In our experiment, strings are extracted in the preprocessing phase by removing background and then based on geometric information, two correlation filters are applied to locate expected fields. We compare results from two correlation filters and demonstrate that this algorithm is a high accurate approach.