Title :
Research and application of the EAN-13 barcode recognition on iphone
Author :
Li, YeMin ; Li Zeng
Author_Institution :
Coll. of Comput. Sci. & Technol., Sichuan Univ., Chengdu, China
Abstract :
Barcode is worldwide used, its popularity can be attested by its use in all parts of our life. Though the laser barcode scanner is very popular, yet it is lack of mobility. So we want a portable scanner as a substitute, without a doubt, iphone is a good choice. In this paper we present an algorithm for the EAN-13 barcode recognition on iphone. The algorithm can be divided into four parts: image pre-processing, edge detection, image segmentation and image decoding. Tests showing that in most light condition, this algorithm can extract the barcode with very high accuracy.
Keywords :
bar codes; edge detection; image coding; image segmentation; mobile computing; EAN-13 barcode recognition; Iphone; edge detection; image decoding; image preprocessing; image segmentation; laser barcode scanner; Decoding; Image edge detection; EAN-13 barcode; barcode recognition; image processing; iphone;
Conference_Titel :
Future Information Technology and Management Engineering (FITME), 2010 International Conference on
Conference_Location :
Changzhou
Print_ISBN :
978-1-4244-9087-5
DOI :
10.1109/FITME.2010.5654884