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Indexed by:会议论文

Date of Publication:2015-08-13

Included Journals:EI、Scopus

Volume:9217

Page Number:338-349

Abstract:This paper presents a novel method for barcode detection and recognition in the scenes consisting of multiple barcodes. In order to effectively detect the locations of the barcodes, we construct a new feature parameter, the ratio of horizontal gradient to vertical gradient of each sub-block of the image, which can reflect the distinctive feature of barcode area from other parts of the image. We then use this feature to detect the position of each barcode with an adaptive threshold. Furthermore, in considering that the information of a barcode is encoded in the widths of bars, we develop a method for extracting the width information by reconstructing a high-resolution binary barcode image. The reconstruction is realized through projecting barcode image along optimal directions and interpolating the projection curve by cubic spline interpolation method. Experiment results show that the proposed approach is effective in detecting and recognizing multiple barcodes in complex scenes. ? Springer International Publishing Switzerland 2015.