pi code (picture embedding)
- 1. YOGI VEMANAUNIVERSITY KADAPA PiCode : a New Picture-Embedding 2D Barcode PRESENTED BY: A NAGA DINESH mca 6th sem 0011509017
- 3. Human readable information is provided before the barcode is successfully decoded. This paper proposes a new picture-embedding 2D barcode, called PiCode, which mitigates these two limitations by equipping a scannable 2D barcode with a picturesque appearance. PiCode is designed with careful considerations on both the perceptual quality of the embedded image and the decoding robustness of the encoded message. Comparisons with existing beautified 2D barcodes show that PiCode achieves one of the best perceptual quality for the embedded image, and maintains a better trade-off between image quality and decoding robustness in various application conditions. PiCode has been implemented in Matlab on a PC and some key building blocks have also been ported to Android and iOS platforms. Its practicality for real-world applications have been successfully demonstrated. ABSTRACT:
- 4. MODULE DESCRIPTION New Picture-Embedding. QR Code. 2D Barcode. Embedding Image System.
- 5. New Picture Embedding System
- 6. Appearance of a conventional 2D barcode pattern is often too obtrusive for integrating into an aesthetically designed advertisement. Besides, no human readable information is provided before the barcode is successfully decoded. This paper proposes a new picture-embedding 2D barcode, called PiCode, which mitigates these two limitations by equipping a scannable 2D barcode with a picturesque appearance. PiCode is designed with careful considerations on both the perceptual quality of the embedded image and the decoding robustness of the encoded message. Comparisons with existing beautified 2D barcodes show that PiCode achieves one of the best perceptual quality for the embedded image, and maintains a better trade-off between image quality and decoding robustness in various application conditions. New Picture-Embedding
- 7. QR CODE
- 8. QR Code QR code is an invention of Denso Wave Inc. and has been included in the ISO standard.It was created for industrial applications, such as auto- identification and tracking of electronic parts Its pattern is in black and white, and consists of some large fixed patterns which are designed to guarantee detection and decoding robustness. QR code contains three squarish finder patterns located at the top left, top right and bottom left corners, respectively, an alternating black and white timing pattern between adjacent finder patterns, as well as a smaller squarish alignment pattern at the bottom right region For the high capacity there are more fixed patterns located in the interior region of the barcode.
- 9. Instead of considering dedicated encryption algorithms tailored to the scenario of encrypted-domain data hiding, we here stick to the conventional stream cipher applied in the standard format. That is, the cipher text is generated by bitwise XOR in the plaintext with the key stream. If not otherwise specified, the widely used stream cipher AES in the CTR mode is assumed. The resulting data hiding paradigm over encrypted domain could be more practically useful because of two reasons: stream cipher used in the standard format is still one of the most popular and reliable encryption tools. large number of data have already been encrypted using stream cipher in standard way. Embedded Image
- 10. Such fixed patterns are only present in QR codes with a storage being greater than 196 bytes. This is because as the barcode capacity increases, the module alignment accuracy becomes more critical and the fixed patterns can be utilized to improve module alignment.
- 12. This paper proposes a new picture-embedding 2D barcode, called PiCode, which mitigates these two limitations by equipping a scannable 2D barcode with a picturesque appearance. PiCode is designed with careful considerations on both the perceptual quality of the embedded image and the decoding robustness of the encoded message. Comparisons with existing beautified 2D barcodes show that PiCode achieves one of the best perceptual quality for the embedded image, and maintains a better trade-off between image quality and decoding robustness in various application conditions. PiCode has been implemented in Matlab on a PC and some key building blocks have also been ported to Android and iOS platforms. Its practicality for real-world applications have been successfully demonstrated 2D Barcode
- 13. ARCHITECTURE
- 14. The three squarish finder patterns are usually kept intact by the beautifying process since they are pivotal in the QR code detection process. The obtrusive appearance of such finder patterns pose a strong limitation on the achievable perceptual quality of the embedded picture. Similarly, the timing and alignment patterns in the interior region of the high capacity QR code severely affects the perceptual quality. On the other hand, suppressing these patterns without taking a sufficient remedial measure, as in QR Image , leads to degradation in the decoding performance. EXISTING SYSTEM
- 15. PROPOSED SYSTEM In this section, the proposed PiCode system is described with an emphasis on the novel aspects of the encoding and decoding algorithms. For the encoding part, the details of the modulation scheme will be presented to illustrate how PiCode preserves the perceptual quality of the embedded image while minimizing the interference of the latter incurred on the modulation waveform. For the decoding part, the algorithms for performing corner detection, module alignment and demodulation will be described.
- 17. This paper has designed a novel picturesque 2D barcode, named the PiCode. Comparing with existing beautified QR codes, it provides one of the best perceptual quality in preserving the aesthetic appearance of the embedded image, while maintains the decoding robustness. It is achieved by the design of barcode pattern and better decoding algorithms. The PiCode is designed with less obtrusive fixed patterns to avoid distortions on the embedded image, and a modulation scheme which represents the data bit value adaptively with the embedded image intensity. CONCLUSION
- 18. Thank You