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Recognition of Handwritten Names

Recognition of Handwritten Names. Wednesday, March 11, 2009. Monday, March 9, 2009. After my results came out really bad, I decided that my training data was the problem. Both quality and quantity wise. It is difficult to get more training data fast, so Serge recommended using what I have to make more. I used Piotr Dollar's jitterImage function to take a single image and apply transformations to it. Here is half of the 625 training examples for 'a':. To cut to the chase, my algorithm still performs poorl...

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Recognition of Handwritten Names | dafna190.blogspot.com Reviews

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Recognition of Handwritten Names. Wednesday, March 11, 2009. Monday, March 9, 2009. After my results came out really bad, I decided that my training data was the problem. Both quality and quantity wise. It is difficult to get more training data fast, so Serge recommended using what I have to make more. I used Piotr Dollar's jitterImage function to take a single image and apply transformations to it. Here is half of the 625 training examples for 'a':. To cut to the chase, my algorithm still performs poorl...

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1 presentation slides

2 here

3 posted by dafna

4 38 comments

5 jittering data

6 exaggeration

7 no comments

8 zample

9 the result

10 3 comments

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Recognition of Handwritten Names | dafna190.blogspot.com Reviews

https://dafna190.blogspot.com

Recognition of Handwritten Names. Wednesday, March 11, 2009. Monday, March 9, 2009. After my results came out really bad, I decided that my training data was the problem. Both quality and quantity wise. It is difficult to get more training data fast, so Serge recommended using what I have to make more. I used Piotr Dollar's jitterImage function to take a single image and apply transformations to it. Here is half of the 625 training examples for 'a':. To cut to the chase, my algorithm still performs poorl...

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dafna190.blogspot.com

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Recognition of Handwritten Names: February 2008

http://dafna190.blogspot.com/2008_02_01_archive.html

Recognition of Handwritten Names. Monday, February 25, 2008. Experimenting with nearest neighbor. Nearest neighbor shockingly doesn't work that well. I think part of the problem is that the training data isn't all that great and there isn't enough of it. I have 90 training images for each letter in the alphabet (there are 26 of those). This makes for 2340 total training images, for those of you that can't do maf. All of the training images are the same size - 8 bit images of 120 by 123 pixels. Of the 50 ...

2

Recognition of Handwritten Names: January 2009

http://dafna190.blogspot.com/2009_01_01_archive.html

Recognition of Handwritten Names. Monday, January 26, 2009. Fixing the cropping issue. I've spent some time now fixing up my cropping function. The reason I've been spending my time on this is because I think that it's really important to have quality training data. If my training data is crap, then nothing will work. I want to be able to cleanly cut out letters. So, I changed my cropping algorithm to the following:. Cut the original image into 4 pieces, as follows:. Here is the left piece:. I get better...

3

Recognition of Handwritten Names: March 2008

http://dafna190.blogspot.com/2008_03_01_archive.html

Recognition of Handwritten Names. Tuesday, March 11, 2008. Can be found here. LoG filter not too hot either. I still need to play with the kernel size but so far LoG (Laplacian of Gaussian) hasn't been helping out at all. Using a bigger binomial kernel. Using a bigger kernel didn't seem to help the nearest neighbor out :(. Incorporating another set of NN. And now. I get 100% accuracy. That's right. Yeah yeah, the roster only has 7 names but it is a start! Filtering with a discrete binomial kernel. 20 120...

4

Recognition of Handwritten Names: February 2009

http://dafna190.blogspot.com/2009_02_01_archive.html

Recognition of Handwritten Names. Monday, February 23, 2009. Where the classifier is at now. Here is the ROC curve for the training data:. The curve is perfect for training but not excellent for testing. The next step is just to use what I have for my overall project. Sunday, February 22, 2009. Improving the ROC curve. It turns out that the ROC curve posted in the previous post was incorrect. I accidentally tested on my training data. Oooops! Wednesday, February 18, 2009. What is a haar feature? In this ...

5

Recognition of Handwritten Names: Huh. How 'bout dat

http://dafna190.blogspot.com/2009/03/huh-how-bout-dat.html

Recognition of Handwritten Names. Monday, March 2, 2009. Huh How 'bout dat. Well My real road block at this point was extracting letters from the test data character boxes because I lost my code from last year. But losing the code wasn't the real bad part - the code wasn't very good in the first place. It had all sorts of hough transforms in it. To extract the letters, I found that the thickness of the character box lines were about 3 pixels wide so I took this into account. Here is another zample. Howev...

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Recognition of Handwritten Names

Recognition of Handwritten Names. Wednesday, March 11, 2009. Monday, March 9, 2009. After my results came out really bad, I decided that my training data was the problem. Both quality and quantity wise. It is difficult to get more training data fast, so Serge recommended using what I have to make more. I used Piotr Dollar's jitterImage function to take a single image and apply transformations to it. Here is half of the 625 training examples for 'a':. To cut to the chase, my algorithm still performs poorl...

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