Skip to content

chy89310/JMImageScanning

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

24 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

My other works

[http://leverdeterre.github.io] (http://leverdeterre.github.io)

JMImageScanning

[![CI Status](http://img.shields.io/travis/Jerome Morissard/JMImageScanning.svg?style=flat)](https://travis-ci.org/Jerome Morissard/JMImageScanning) Version License Platform

What is it for ?

Scanning image to find sub image, like a CIDetector but to detect targeted images.

Really? but what is it for ?

I'm working on a lot of Bank applications and in order to execute functional testing i fix the constraint of logging on real testing accounts (protected by secure keyboard) using this library.

The idea, i have a master image (here, a secure keyboard to analyse).

Image

I want to find a sub image (here, all the pieces of the keyboard).

Image Image Image Image Image Image Image Image Image Image

I am running pixel scanning on the targeted keyboard for each pieces.

The result :)

Image

Installation

JMImageScanning is available through CocoaPods. To install it, simply add the following line to your Podfile:

pod "JMImageScanning"
UIImage *keyboardImage = [UIImage imageNamed:@"free.png"];
UIImage *image = [UIImage @"free-0.png"];
NSArray *points = [keyboardImage findPositionsOfSubImage:image];

NSError *error;
CGPoint p = [keyboardImage findFirstPositionOfSubImage:image treshold:0.70f error:&error];

TODO

  • increase performance on device (V0.2 increase 42% of performance)
  • increase performance on device (V0.3 increase 130% of performance)
  • support heterogeneous scales

Performances

iPhone 5 (iOS8.4), 100 run

Version search time (ms)
V0.1 620ms
V0.2 359ms
develop 156ms

Author

Jerome Morissard, [email protected]

License

JMImageScanning is available under the MIT license. See the LICENSE file for more info.

About

Basic ocr recognition to hack secure keyboards

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Objective-C 94.9%
  • Shell 3.3%
  • Other 1.8%