A Novel Linear Barcode scanning system based on a Dynamic template matching scheme. The proposed system works entirely in the Spatial domain and is capable of reading Linear Barcodes from low-resolution Images containing severe OOF blur. This paper treats Linear barcode scanning under the perspective of deformed Binary waveform analysis and classification. A directed graphical model is designed to characterize the relationship between the blurred barcode waveform and its corresponding symbol value at any specific blur level. A Dynamic programming-based inference algorithm is designed to retrieve the optimal state sequence, enabling real-time decoding on Mobile devices of limited processing power. © 2015 Elsevier B.V., All rights reserved.