Image Estimation Algorithm for Out of Focus and Blur Images to Retrieve the Barcode Value

Mobile cameras are being used now-a-days to scan barcodes to retrieve the product details. But the drawback is mobile cameras are made by a charge coupled device which is does not have the ability to handle out of focus and blur images. In this project, out of focus and blur images are restored using a dynamic template matching algorithm using directed graphical model. The directed graphical model is used to determine the relationship between state variable from blurred waveform at specific blur level and observation sequence. A varying program based inference algorithm is used to recover the optimal state sequence and hence the system works in real-time.