A method of and system for automatically cropping linear images of a moving object is disclosed. The method comprises automatically capturing a linear range and intensity data map from an object moving with respect to a coordinate reference system. The linear range and intensity data map includes a sequence of data sets taken along a sequence of sample points along the moving object. Each data set includes a set of coordinates specifying the location of the sample point and an intensity value specifying the intensity of light reflected from the moving object at the sample point. The intensity values in the linear range and intensity data map are automatically analyzed so as to determine the coordinates associated with a region of interest (ROI) on the moving object bearing object identifying information (e.g. bar code symbol, textual information, graphics, etc.) A linear image of the object moving within the coordinate reference is automatically captured. The coordinates of the region of interest (ROI) are automatically converted into a set of pixel indices corresponding to the region of interest (ROI) present in the linear image. The set of pixel indices and the linear image are then used to automatically produce a cropped linear image of the moving object. Cropped linear images can be buffered to produce two-dimensional images of the moving object, and then the two-dimensional image can be processed using image-based bar code decoding and/or OCR operators. By virtue of the present invention, it is now possible to crop linear images prior to image processing, on a linear image by linear image basis, thereby substantially reducing the amount of image data that requires image processing. By reducing image data through the cropping operations of the present invention, significant computational savings is achieved.