Quick Response [ QR] Code Detection Algorithm

Kamal Kumar Sharma

Computer Science and Engineering

Amity School of Engineering and Technology

s_kamalkumar92@yahoo.com

ABSTRACT:

This paper shows new algorithms and the implementations of image reorganization for EAN/QR

barcodes in mobile phones. The mobile phone system used here consists of a camera, mobile

application processor, digital signal processor (DSP), and display device, and the source image is

captured by the embedded camera device.

The introduced algorithm is based on the code area found by four corners detection for 2D barcode

and spiral scanning for 1D barcode using the embedded DSP. This algorithm is robust for practical

situations and the DSP has god enough performance for the real-time recognition of the codes.

Current mobile phones implement various new kinds of applications such as taking photos, and

movie shooting by using embedded camera devices and this progress also depends on the camera

device technology.

The camera device and application processor are necessary hardware components for this system.

The application processor is needed to implement the camera interface, LCD controller, DSP for

image processing, and application host CPU for real-time computations.

The processing flow is as follows:

1. Execute the barcode reader application

2. Capture from embedded camera device

3. Process the image in DSP

4. Decode the code

5. Display the results

Analysis And Research Of System Security Based On Android

Kamal Kumar Sharma

Computer Science and Engineering

Amity School of Engineering and Technology

s_kamalkumar92@yahoo.com

ABSTRACT:

Android is a smart mobile terminal operating platform core on Linux. But due to its open-source

software and programmable framework character, it leads the Android system vulnerable to get virus

attacks. This paper has deeply researched from the Linux system security mechanism, Android-

specific security mechanisms and other protection mechanisms. And on this basis, Android devices

have achieved closely guarded on normal state. So that attackers cannot use the kernel module or

core library to get highest access permission and be attacked. Meanwhile, to further strengthen the

security of Android devices, it enables them to properly handle the high-risk threat. This paper also

strengthened intrusion detection system (HIDS) based on the host in order to detect malicious

software and strengthen the Android system-level access control.