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
A High Accuracy Rate Commercial Flight Coupon Recognition System
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
IEEE Transactions on Pattern Analysis and Machine Intelligence
Seal object detection in document images using GHT of local component shapes
Proceedings of the 2010 ACM Symposium on Applied Computing
Shreddr: pipelined paper digitization for low-resource organizations
Proceedings of the 2nd ACM Symposium on Computing for Development
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We describe a prototype system for reading IATA flight coupons. The system exploits various characteristics of IATA coupons to determine reliably coupon types and field boundaries, and to minimize the amount of manual keying. In particular, we propose a method for extracting and recognizing fixed-pitch characters on noisy images with a complex background. The method does not require a complete drop-out of background, pre-printed text, or lines before recognition, and allows for recovering partially damaged characters (e.g., overlap with form content, handwritten annotations, etc.).