The aim of this paper is to establish an object fetching way formed by a monocular vision unit through the analysis of robot target fetching based on vision.
#QR CODE READER FROM IMAGE CODE#
In particular, speed varies from 200 ms to 800 ms per single or multiple QR code detected simultaneously in images with resolution from 640 × 480 to 4080 × 2720, respectively. In contrast to well-known scanners, which fail to detect QR code with medium to strong blurring, significant nonuniform illumination, considerable symbol deformations, and noising, the proposed technique provides high recognition rate of 80%–100% with a speed compatible to real-time applications.
The high precision and speed are achieved by adaptive threshold binarization of integral images. The proposal consists in recognizing geometrical features of QR code using a binary large object- (BLOB-) based algorithm with subsequent iterative filtering QR symbol position detection patterns that do not require complex processing and training of classifiers frequently used for these purposes. In this paper, a particular solution for QR code detection in uncontrolled environments is presented. The main disadvantage of recent applications for QR code detection is a low performance for rotated and distorted single or multiple symbols in images with variable illumination and presence of noise. Quick Response QR barcode detection in nonarbitrary environment is still a challenging task despite many existing applications for finding 2D symbols. From the above result we suggest to use QR Code for indentification of the of the individual (ID). The data were retrieved completely without any error because QR code is reliable and authentic. To apply this technique and to reduce the cost, we use a webcam to get back the private (confidential) data from the QR code. By this method, the QR code is applied in different applications and it was very fast (3-4 second). Finally, STR DNA sequences were applied in different lengths and converted to QR code. Then, by using the MD5 (Message Digest 5) Algorithm, the result data is converted to QR code and the data within the data areas are stored in an unusually large format to make retrieval difficult. The proposed method is to convert the hidden data (STR DNA sequence) to QR code that mean the security is at maximum. STR DNA is very important because each person has its own DNA which means that security and authentication ) reliable ( are very high. QR Codes technique is mainly used to convert and store messages since it has higher and large storage capacity, in addition to that we used, in this paper, the STR (Short Tandem Repeats) DNA sequence. This paper includes proposal for using a new technique called (Quick Respond Codes) QR Codes. Steganography is forwarded one of the solutions as a technique among many. To face these problems a suitable solution have to be forwarded.
Data transmission, security and authenticity, nowadays is considered the major source of problems.
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