Bar Code Recognition In Complex Scenes Seminar report, Abstract

An introduction to Bar Code Recognition In Complex Scenes

On a visit to a shopping mall we often come across a tag attached with the purchase item. The tag is a bar code. A barcode is an optical machine readable signature related to the object to which it is attached. Barcodes scientifically represent information by varying the width and spacing of one dimensional parallel line. With technological upgrade barcodes evolved into rectangles, dots and other geometric symbols in two dimensions. Barcodes are scanned by special optical scanners called barcode readers. For complex images the barcode identification is a not easy. The barcode in some images is rotated with twisted ankles. The image can also get affected by a flash or can get covered by a shadow.

Barcodes are usually printed on goods with marks or twists which make barcode reading and recognition difficult. Bar code is a pattern of parallel lines that looks easily recognizable. Bar code image processing and pattern identification is difficult because a huge amount of information gets processed. Bar code readability is smooth when small amount of information gets processed. There are two techniques of barcode recognition. The first one is based on image or texture segmentation and another is related to partial line scanning. The first technique is robust and very precise but needs high processing and computing power.


We prepared and published this seminar abstract for final year engineering students seminar research. You should do your own research additional to this information before presenting your seminar.
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