|
|
Captcha Code Recognition
Pazderka, Radek ; Rozman, Jaroslav (referee) ; Zbořil, František (advisor)
This bachelor thesis is dedicated to design and implementation of application , which's purpose is to recognize text CAPTCHA codes . It describes image processing algorithms , segmentation algorithms and character classification . Two different aproaches were used for classification . Convolution neural network LeNet and histogram classificator , which uses Pearson's correlation coefficient . Chosen classificators were tested on different CAPTCHA codes while finding out the success rate of recognition .
|
|
|
Captcha Recognition
Pazderka, Radek ; Zbořil, František (referee) ; Žák, Marek (advisor)
This bachelor thesis is focused on design and implementation of application, which would recognize CAPTCHA codes. It also describes various types of CAPTCHA codes, their security properties and existing solutions which are used today for recognizing CAPTCHA codes. Main goal of this thesis is testing security of certain type of text CAPTCHA code, which is used by web sites for protection against illegal applications.
|
|
|
Captcha Recognition
Pazderka, Radek ; Zbořil, František (referee) ; Žák, Marek (advisor)
This bachelor thesis is focused on design and implementation of application, which would recognize CAPTCHA codes. It also describes various types of CAPTCHA codes, their security properties and existing solutions which are used today for recognizing CAPTCHA codes. Main goal of this thesis is testing security of certain type of text CAPTCHA code, which is used by web sites for protection against illegal applications.
|
|
|
Captcha Code Recognition
Pazderka, Radek ; Rozman, Jaroslav (referee) ; Zbořil, František (advisor)
This bachelor thesis is dedicated to design and implementation of application , which's purpose is to recognize text CAPTCHA codes . It describes image processing algorithms , segmentation algorithms and character classification . Two different aproaches were used for classification . Convolution neural network LeNet and histogram classificator , which uses Pearson's correlation coefficient . Chosen classificators were tested on different CAPTCHA codes while finding out the success rate of recognition .
|
guest ::
