Try googling for adaptive thresholding. It brings up 25000 hits in English. Regards David R

You're better off buying an OCR library, this is a very complex task. The link someone else gave you sure isn't going to help much. Christian Graus Driven to the arms of OSX by Vista.

Do some legwork and take a trip to your local academic library. These two articles should get you started: Character Line Segmentation Based on Feature Clustering [^] A survey of methods and strategies in character segmentation[^] Good luck and happy coding!

Whoops. My mistake. Zapped

The basic steps will be something like: 1. Locate and extract the license plate within the image (not always easy, especially if the vehicle is moving) 2. Clean and enhance the license plate image (de-skew, de-noise, improve contrast, etc.) 3. Isolate individual glyphs (characters) 4. Extract informative features from characters 5. Recognize individual characters Step 5 could be performed any number of ways: neural network, discriminant analysis, k-nearest neighbors, etc. -Will Dwinnell Data Mining in MATLAB

Hi, my best guess is something, probably an exception, is making your code skip the unlockbits part. It may be wise to use a try-finally construct so the finally part can guarantee the unlock to occur. :) Luc Pattyn [Forum Guidelines] [My Articles] - before you ask a question here, search CodeProject, then Google - the quality and detail of your question reflects on the effectiveness of the help you are likely to get - use the code block button (PRE tags) to preserve formatting when showing multi-line code snippets

Hello, Did not run the C version of the algorithm you've pointed, but there are some already made implementation of thinning in C#, which are made in AForge.NET Framework[^]. One example is to use math morphology filters for this: [^]. Another is simple skeletonization filter[^]. With best regards, Andrew Kirillov AForge.NET

thanku all ........if any 1 can still help i'll be highly obliged..........