Bin Code: Encoding and Decoding of Picture Embedded Barcodes by Novel Intensity Bin

Abstract

Objectives: To introduce a new algorithm for embedding pictures into barcodes, thereby facilitating the barcodes to hold the picture about its carrying information. This facilitates easier storage and faster retrieval, thereby avoiding manual errors and time consumption. Methods: The message to be embedded is encoded using Reed Solomon code and then embedded into the image by the proposed modulation method, finally generating a picture embedded barcode. Findings: The image quality and the information embedding capacity achieved by this method are proved to be higher than the previous works. Novelty: This study proposed an encoding/ decoding method for barcodes with pictures with the novel Intensity bins to generate a barcode with maximum visual quality.