I'm not sure what level of detail you're looking for in your auditing, but have you checked out what's built in to SQL Server 2008 - http://msdn.microsoft.com/en-us/library/dd392015.aspx[^]? Scott

andreas.schaerer wrote: even a trick to just dont show the assertion? abort[^] should do the trick, but I would ask the question on a Boost mailing list to properly fix the problem. Programming Blog utf8-cpp

Seems like Vision is meant for MSVC 5.0/6.0. The following is a shot in the dark, though maybe an inspired one: replace T2::size_type size_type with typename T2::size_type size_type and similarly for the other errors. Tell us back if it worked. Joaquín M López Muñoz Telefónica, Investigación y Desarrollo

There are a few wrapper classes on CP, but I did not like any of them! But that is my personal opinion! so search CP for AVI, I came up with these. I never said the API was easy to follow! After a few months you will realise it is straight forward, it took me ages to figure it out, and I could not really explain to anyone now how it works it is just so badly documented. http://www.codeproject.com/useritems/aviutil_.asp[^] http://www.codeproject.com/audio/avigenerator.asp[^] "There is no monument dedicated to the memory of a committee." - Lester J. Pourciau

If it's the SDK I'm thinking of (and from a very quick look at the Microsoft website, it is) it stinks. We had heaps of problems with it when we did a little work, and found that OpenCV with pure directshow was a much better solution. Even still it took a long time to get everything up and running properly, and we were learning it from scratch. If you can keep you head when all about you Are losing theirs and blaming it on you; If you can dream - and not make dreams your master; If you can think - and not make thoughts you aim; Yours is the Earth and everything that's in it. Rudyard Kipling

M.Shoaib Khan wrote: Can u please elaborate more how u did OCR??? Geez, this deserves an article series, but I'll try :) M.Shoaib Khan wrote: one big benfefit i have is that i know color of text so i can seperate text from other image.. This is great. Don't forget to allow some small variations on the color to get the full char. To separate chars, a simple scan for an empty vertical space is enough. If they are 'glued' together, the algorithm is a bit more complicated, and you'll need to add vertical lines to the char until the network can recognize something. M.Shoaib Khan wrote: Which ANN did u used?? Back propagation?? counter propagation or radial basis? This was the scariest part, I was afraid that I would need a very good NN, but in the end, it was just a simple perceptron, with some hidden layers and had a very good performance (it was both fast and accurate). I noticed that the first steps were much more determinant on the OCR's performance than the NN itself. For the feature extraction, I don't remember the algorithm name right now. It was not invented by me, and seems to be used by several omnifont OCRs. The algorithms I used both reduced the resolution and the size of the chars (all of them need to be the same, normally). So, I created a grid like this: ...|...|...|... ...|...|...|... ..1|..2|..3|... ...|.xxXxx.|... ...|...|...|... ...X...|.xx|... ---+---+---+--- --x+---+---X--- ...|...|...|... ..x....|...X... ..4|..5|..6|... ...XxxxxxxxX... ...|...|...|... ...Xxxx|.xxX... ---+---+---+--- ---XX--+---X--- ...|...|...|... ...X...|...X... ..7|..8|..9|... ...XX..|..XX... ...|...|...|... ...|...|...|... The numbers are IDs of the segments, and you can do this on the horizontal segments too (I just didn't to make the text more clear). Basically, you get the image and draw those imaginary segments. You then mark if (or how many times) those segments have been crossed, so you can detect horizontal, vertical and diagonal line features and each feature is an input node of the NN. Add some hidden layers (this will need tweaking, but I had success with sizes x, x/2, x/4) and the output layer is just a sequential ID for the char (0 for 'A', 1 for 'B'...) Unfortunately, this code is part of my product now, so I can't give you a copy. I didn't need to do image vectorization, so I don't have any experience with it

I think that you don't get the point of what he is asking. I think that he wants to know WHY the subsquents aren't initialized. You are only showing the effect of it, but I think he is AAAARGH-ing about the not-being-constructed of the CString-members in his class. And btw, I have no idea what he could be doing wrong. This is really weird... a member var should be constructed if it shouldn't be a pointer but a physical instance...