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Practical Algorithms for Image Analysis: Descriptions, Examples, and Code Review by Instructor

Excellent new reference for document recognition

I have found this book to be extremely useful as a reference for my class on document image analysis. The book discusses (with software which is a bonus!) a whole bunch of image processing techniques that are very useful.

Students can now find in one place- a reference for techniques such as gabor wavelet analysis, convex hulls, moments, fourier descriptors, thinning, hough transform, and chain coding. This allows me as an instructor of an advanced document recognition course to let the students self-study these image processing techniques while I can focus on the recognition topics.

The authors have done a great job of picking examples from a wide range of applications such as outdoor scenes, fingerprints, and documents. The book is "easy to read" and requires just basics of linear algebra to follow.