DocumentCode :
661385
Title :
An image-based postal barcode decoder with missing bar correction
Author :
Peng-Hua Wang ; Jia-Wei Ciou
Author_Institution :
Dept. of Commun. Eng., Nat. Taipei Univ., Taipei, Taiwan
fYear :
2013
fDate :
Oct. 29 2013-Nov. 1 2013
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, we propose an image-based postal barcode decoding algorithm. The proposed algorithm is capable of correcting missing bars in a symbol. Postal barcodes in general belong to bar length modulated symbology. Usually, postal barcodes use a check digit to detect errors. It is possible for some postal code symbologies not only to detect errors, but also to correct them by using the uniqueness of the pattern of a digit. In this paper, we present a general method of correcting errors caused by missing bars. In order to validate our method, a POSTNET (Postal Numeric Encoding Techniques) decoder is implemented. Experimental results show that the proposed algorithm can correct one missing bar in a digit, and at most ten missing bars in a POSTNET symbol.
Keywords :
bar codes; decoding; image coding; POSTNET symbol decoder; bar length modulated symbology; digit checking; error detection; image-based postal barcode decoding algorithm; missing bar correction; postal code symbologies; postal numeric encoding techniques; Algorithm design and analysis; Bar codes; Bars; Decoding; Linear codes; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2013 Asia-Pacific
Conference_Location :
Kaohsiung
Type :
conf
DOI :
10.1109/APSIPA.2013.6694246
Filename :
6694246
Link To Document :
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