Abstract
Though electronic air tickets have been used widely in airline companies, there are still very large numbers of paper air tickets that need to be processed. Many airline companies have used automatic recognition systems to process air tickets. How to store such huge numbers of air ticket images efficiently is an important part of this kind of system. The normal method is to compress each air ticket image individually with standard compression methods, such as JPEG and JPEG2000, or with a special algorithm. We focus on how to eliminate inter-image redundancies that are also very important for total compression ratio, and we produce an efficient air ticket image compression scheme based on image segmentation and classification.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
