Postage stamp is widely consumed in our daily life. In most of the cases, citizens need to purchase stamps in the post office or the local shop and may even need to wait in a long queue. This paper provides a stamp recognition system for supporting auto postage stamp selling machine, in order to convenient citizens and save labor cost for shops. Both citizens and stamp collectors can benefit from this system. This recognition system uses image processing is programmed using MATLAB®. Having scanned different pieces of postage stamps, our system could detect and recognize which type each piece of postage stamp belongs to. Besides, the coordinate information of each piece of stamp can be accessed for localization.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hig-9425 |
| Date | January 2011 |
| Creators | Li, Guancong |
| Publisher | Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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