Abstract: A barcode recognition method and a computer program product thereof are provided. In the barcode recognition method, at first, a foreground extraction step is performed to obtain a binary image of a barcode image. Thereafter, an alignment step is performed to calculate a center coordinate, corner coordinates, a shift vector, and a rotation angle of the target barcode in accordance with the barcode image, the binary image, the shift vector, and the rotation angle. Thereafter, positions of data space patterns, boundary patterns, and an alignment type of the target barcode are determined in accordance with the center coordinate, the corner coordinates, the shift vector, and the rotation angle of the target barcode. Then, values of the target barcode are determined in accordance with the positions of the data space patterns, the boundary patterns, and the alignment type of the target barcode.

Abstract: A barcode recognition method and a computer program product thereof are provided. In the barcode recognition method, at first, a foreground extraction step is performed to obtain a binary image of a barcode image. Thereafter, an alignment step is performed to calculate a center coordinate, corner coordinates, a shift vector, and a rotation angle of the target barcode in accordance with the barcode image, the binary image, the shift vector, and the rotation angle. Thereafter, positions of data space patterns, boundary patterns, and an alignment type of the target barcode are determined in accordance with the center coordinate, the corner coordinates, the shift vector, and the rotation angle of the target barcode. Then, values of the target barcode are determined in accordance with the positions of the data space patterns, the boundary patterns, and the alignment type of the target barcode.

Abstract: A motion object detection method using an adaptive background model and a computer-readable storage medium are provided. In the motion object detection method, a background model establishing step is firstly performed to establish a background model to provide a plurality of background brightness reference values. Then, a foreground object detecting step is performed to use the background model to detect foreground objects. In the background model establishing step, a plurality of brightness weight values are firstly provided in accordance with the brightness of background pixels, wherein each of the brightness weight values is determined in accordance with the relative background pixel. Thereafter, the background brightness reference values are calculated based on the brightness of the background pixels and the brightness weight values. In addition, a computer can perform the motion object detection method after reading the computer-readable storage medium.

Abstract: A motion object detection method using an adaptive background model and a computer-readable storage medium are provided. In the motion object detection method, a background model establishing step is firstly performed to establish a background model to provide a plurality of background brightness reference values. Then, a foreground object detecting step is performed to use the background model to detect foreground objects. In the background model establishing step, a plurality of brightness weight values are firstly provided in accordance with the brightness of background pixels, wherein each of the brightness weight values is determined in accordance with the relative background pixel. Thereafter, the background brightness reference values are calculated based on the brightness of the background pixels and the brightness weight values. In addition, a computer can perform the motion object detection method after reading the computer-readable storage medium.