DocumentCode :
1664701
Title :
Minimum discrimination information bar code decoding
Author :
Turin, William ; Boie, Robert
Author_Institution :
AT&T Bell Labs., Murray Hill, NJ, USA
fYear :
1996
Firstpage :
255
Lastpage :
258
Abstract :
The ubiquitous super market checkout scanner is indeed a well engineered and effective device. There is, nevertheless, demand for yet better devices. Existing scanners rely on simple and indeed low cost signal processing to interpret bar code signals. These methods, nevertheless, fundamentally limit label reading and can not be extended. A new method based on the deterministic expectation-maximization (DEM) algorithm is described here. First result show a substantial improvement in label reading depth-of-field, an important performance parameter for bar code readers
Keywords :
bar codes; decoding; deterministic algorithms; image coding; mark scanning equipment; optical information processing; bar code decoding; bar code readers; bar code signals; deterministic expectation-maximization algorithm; label reading depth of field; low cost signal processing; minimum discrimination information; performance parameter; super market checkout scanner; Bars; Decoding; Laboratories; Nonlinear filters; Optical filters; Optical signal processing; Photodetectors; Signal processing; Signal processing algorithms; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Electronics Engineers in Israel, 1996., Nineteenth Convention of
Conference_Location :
Jerusalem
Print_ISBN :
0-7803-3330-6
Type :
conf
DOI :
10.1109/EEIS.1996.566943
Filename :
566943
Link To Document :
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