Survey on Spatial Domain Dynamic Template Matching Technique for Scanning Linear Barcode

Barcode is vital important element of electronic data interchange. Since it invented, this technology is continuously growing up because of the simplicity of the binary data representation and the efficiency of the reading device in a controlled acquisition environment. In todays digital world barcode technology is widely used in various industries. Barcodes represent data with the width and the parallel lines, and may be referred to as 1D barcodes.2D barcodes represented as depicted Binary data in geometric patterns such as dots or squares within images. It is used to keep the records of products and also to find the product using barcode. When captured, the original barcode is degraded by blur caused by a bad focalization or a camera movement, in addition to noise, the whole resulting in a blurred noisy barcode. Barcode scanning systems like LASER scanning systems and more recently charged coupled devices are used. These systems are costly and the basic requirement of these systems is barcode images should be highly focused. Now a day cell phones come with optical imaging system. These hand held devices with capability to reading barcodes is best alternative to the existing barcode scanning system. Cell phones are easily available to people. This can revolutionize every day shopping experience like retrieving product information, price check comparing product price etc. Many models were invented to deal with the reconstruction of blur barcode. In this paper various techniques of barcode extraction like edge detection, methods based on peak detections, blind deconvolution, Bayesian algorithm etc.