how characters recognition works using opnencv ANN_MLP ?

asked 2017-05-28 03:34:36 -0500

Tomna gravatar image

i am so confused on how data is pushed to the training part for neural network to do it's job. so lets say i have 10 digits and 20 characters and for the training part each has 3 images so tottal of 30+60=90 images my question is

1- how is the images supposed to be stored in my files for instance are all the 90 images stored in one file and for the training a for loop will iterate on them ? 2- are all the images have to be the same size. also the recognized image?(input image)

side note: i have done SVM before but this is different since i have more than one image to be recognized SVM just say if its a dog or not but neural network says if its a dog ,cat or cow

any links on how implementation using java and opencv would be helpful

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Comments

please use the searchbox

  1. totally up to you. (but you will need 10x or 100x more images per class)
  2. yes.
berak gravatar imageberak ( 2017-05-28 04:48:21 -0500 )edit

@berak what are the other techniques if i dont have enough images ?

Tomna gravatar imageTomna ( 2017-05-28 06:28:51 -0500 )edit

you'll need more images for any kind of machine-learning

berak gravatar imageberak ( 2017-05-28 06:32:59 -0500 )edit

take a look at letter_recog.cpp

sturkmen gravatar imagesturkmen ( 2017-08-01 19:13:28 -0500 )edit