A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature-oriented image enhancement using shock filters
SIAM Journal on Numerical Analysis
Reasoning About Edges in Scale Space
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fundamentals of speech recognition
Fundamentals of speech recognition
Edge detection in bar code signals corrupted by integrated time-varying speckle
Pattern Recognition
Singularity detection and processing with wavelets
IEEE Transactions on Information Theory - Part 2
Deblurring of bilevel waveforms
IEEE Transactions on Image Processing
Two-dimensional bar code out-of-focus deblurring via the Increment Constrained Least Squares filter
Pattern Recognition Letters
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We present a novel approach to edge detection in bar code signals using a hidden Markov model (HMM). We also present an algorithm for selection of an optimal filter scale used in smoothing the data. Experimental results show that the proposed HMM is superior in performance compared with existing algorithms in commercial scanners.