Chris Pollett > Students > Geetika

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CS297 Proposal

Neural net Captcha Cracker.

Geetika Garg(geetikagarg07@gmail.com)

Advisor: Dr. Chris Pollett

Description:

A CAPTCHA (an acronym for "Completely Automated Public Turing test to tell Computers and Humans Apart") is a type of challenge-response test used in computing to determine whether or not the user is human. In this project, I will be working with Dr. Pollett on neural networks to crack CAPTCHAs. In the end, we will be able to make a program removes the effects and noise from an image and then will use neural nets to recognize a CAPTCHA. We will be training a large sample of data on neural nets to build our OCR.

Schedule:

Week 1: Jan. 22 - 28Meet Professor and set the schedule for future meetings
Week 2: Jan 29- Feb 4Get the site up
Week 3: Feb 5 - Feb 11 Will read about the image processing
Week 4: Feb 12 - Feb 18Will write a python script to read an image and clean it.
Week 5: Feb 19 - Feb 25Deliverable 1: Python program to read and clean up image.
Week 6: Feb 26-Mar 4Will read about the literature behind CAPTCHAs
Week 7: Mar 5 - Mar 11 Deliverable 2: Literature review on CAPTCHAs
Week 8: Mar 12 - Mar 18Learn the basics of OCR
Week 9: Mar 19 - Mar 25Continue the work from week 9
Week 10: Mar 26 - Apr 1Deliverable 3: Program implementing OCR
Week 11: Apr 2 - Apr 8Learn to train sample dataset using neural nets
Week 12: Apr 9 - Apr 15Continue the work from week 11
Week Apr 16 - Apr 22Deliverable 4:Will show the results of training the data.
Week 14: Apr 23 - Apr 29Will start working on CS297 report
Week 15: Apr 30 - May 6Continue with work from week 14
Week 16: May 7 - May 13Deliverable 5: CS297 report

Deliverables:

The full project will be done when CS298 is completed. The following will be done by the end of CS297:

1. Python program to read and clean up image

2. Literary review on Captchas

3. Program implementing OCR

4. Results of training a data set through neural nets.

5. Complete 297 report.

References:

David R. Martin, Charless C. Fowlkes, Jitendra Malik(2002).Learning to Detect Natural Image Boundaries Using Brightness and Texture.U.C. Berkeley, Berkeley, CA 94720

http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.50.6383&rep=rep1&type=pdf