35results about How to "Does not involve complex calculations" patented technology

An identity recognizing method based on living iris includes such steps as discriminating living iris, quality evaluation and selection of iris image, restoring the out-of-focus image, and iris recognization. Its advantages are high reliability and speed, low requirement of hardware and high correctness.

The invention provides a complete-polarization sea clutter simulation method. The complete-polarization sea clutter simulation method comprises the following steps: simulating a random sequence with K distribution by an SIRP (Spherical Invariable Random Process) method and utilizing the random sequence with K distribution as the sea clutter of an HH (Horizontal-Horizontal) polarization channel; then simulating the sea clutter of a VV (Vertical-Vertical) polarization channel by utilizing the amplitude constraint and phase constraint relation between the HH polarization channel and the VV polarization channel; and finally simulating the sea clutter of a cross polarization channel by utilizing the constraint relation between the HH polarization channel and the cross polarization channel, so as to obtain the complete polarization scattering matrix of each scattering unit, so that the simulation of the complete-polarization sea clutter is realized. Simulation results indicate that complete-polarization sea clutter data obtained through simulation by utilizing the method provided by the invention can reflect sea phenomena such as sea peak, the constraint relations among the polarization channels satisfy the physical characteristics of the sea clutter under low sea conditions, and the simulation results can be used for subsequent applications.

The invention provides a transistor grid electrode array with different lengths and a preparation method thereof. According to the method, the exposure process is conduced on two set of masks, in the grid electrode array formed by exposing the first set of the masks, the two end of each grid electrode are flush in the vertical length direction and each grid electrode covers the corresponding grid electrode in a target array at least, in other words, the lengths of all the grid electrodes formed by exposure of the first set of the masks are the same, and the difference of the grid electrode widths after exposure and etching caused by the unequal lengths of the grid electrodes is reduced; the grid electrodes with the same length are made into the grid electrodes with the targeted lengths and the shapes by the adoption of the second set of the masks according to the lengths, due to the fact that the length dimensions of the grid electrodes are ordinarily larger than the width dimensions of the grid electrodes, the difference of the grid electrode lengths after exposure and etching does not exist basically. Accordingly, due to the fact that when the second set of the masks imaging is adopted, the widths of the grid electrodes have been defined by the first set of the masks, the precise control of the widths and the lengths of the grid electrodes is achieved, complex computing is not needed, and achievement is easy.

The invention discloses a signal modulation mode identification method based on peak position discrimination; it includes the following steps: performing peak calculation on received signals to obtain a peak position sequence; performing linear fitting on the peak position sequence, and calculating the difference between the two Sequence; linear fitting of the difference sequence to obtain discriminant parameters; according to the comparison of the discriminant parameters and the set threshold to classify the received signal, and finally identify various signal modulation types and output the judgment result. The principle of the invention is simple, the amount of calculation is small, and it is easy to realize.

The invention discloses a character segmentation method and device, equipment and a storage medium. The method comprises the steps that binarization is performed on a character image to be segmented so as to obtain a binary image; the integral column sum of each column of the binary image is calculated, wherein the integral column sum is the sum of the number of the foreground points of the current column and all the previous columns; a curve graph is established according to the integral column sum of each column; the character segmentation position is determined according to character prior information and the slope in the curve graph; and character segmentation is performed on the binary image according to the character segmentation position. The curve graph is established by using the integral column sum, and the character segmentation position is determined according to the curve slope characteristics so that the accuracy is high without depending on determination of the character boundary and the influence of noise is low; meanwhile, slope calculation is simple without complex operation, calculation speed is fast and the time complexity is low.

The invention belongs to the technical field of radar imaging, and in particular relates to an imaging method for curved synthetic aperture radar. The invention determines the specific position of the interpolation region by calculating the geometric center point of the wavenumber support domain, obtains an interpolation region covering a larger wavenumber support domain, and can make good use of the data information in the wavenumber support domain to improve the imaging quality. In addition, the present invention only involves simple arithmetic operations, and does not involve complex computing operations such as sliding windows. Therefore, the implementation of the present invention is also very simple.

The invention relates to an iris image database synthesis method which is based on the massive texture sampling, comprising the following steps: the pretreatment of an iris image is carried out, and an obtained specific target region is taken as an input image of synthesized textures. The method effectively obtains clean iris textures from the real iris image; the iris image synthesis which is based on the massive texture sampling obtains a virtual synthesized iris image from the real iris image by the non-parametric sampling method; a plurality of frames of similar inner iris images are synthesized from the virtual image by simulating the change characteristics of an iris under various external and internal conditions, thereby generating a large-scale iris image database; the synthesizednormalized iris image is converted to the circular iris; and an evaluation system of the synthesized iris image database is established. The method is used for the large-scale test of the iris recognition algorithm for comparing and predicting the performance of the algorithm and can also be used as the virtual image to carry out the attack test on an existing system, thereby adding the anti-counterfeiting function for an application system.

The invention relates to an iris identification method based on blanket dimension and lacunarity, belonging to the technical field of iris identification. The method comprises the following main steps of iris identification, iris image normalization, iris feature extraction and pattern matching. In the invention, the blanket dimension and lacunarity of iris texture are respectively calculated, and then two types of feature indexes are combined so as to obtain excellent identification effect; therefore, the method solves the problem that the existing iris identification method is incapable of efficiently utilizing iris fractal geometric feature and radiation physiological property.

The invention discloses a video behavior recognition method and system based on a spatial enhancement module. The method includes the following steps: decoding the video to be tested into a frame sequence, storing the decoded frame sequence in the form of an image; taking sparse sampling Strategy, divide the video into multiple video clips, extract a frame from each video clip, and combine them into a stacked frame sequence; calculate the mean value of the three channels of all training video frames in the behavior recognition data set, and divide the sampled frames Subtract the calculated mean value from the image; use the residual neural network 3D-ResNet-18 as the backbone network, and construct the behavior recognition and classification network with the space enhancement module; set the training parameters, input the training set into the behavior recognition and classification network for training, and save the training Network parameters; in the model deployment stage, the linear operator of the fusion space enhancement module; the video to be tested is input to the behavior recognition classification network, and the final classification result is output. The invention improves the behavior recognition effect, and has both effectiveness and versatility.

The invention discloses a method and device for edge detection of a two-dimensional code image, wherein the method includes: performing binarization processing on the image; acquiring feature points on the image; fitting the feature points to calculate the edge Wire. Through the above method, the present invention can find the edge line of the two-dimensional code image, the operation is simple, no complicated calculation is involved, and the accuracy is improved through the mathematical model, and at the same time, the application range is wide.

The embodiment of the present invention discloses and provides an infrared image enhancement method, which performs histogram statistics on the image, and performs operations on the histogram to obtain a grayscale array of the extreme value of the number of pixels, and uses the array to judge that the histogram distribution belongs to a single peak or bimodal. According to the different types of histogram distribution, the respective expansion area and compression area are obtained, and the gray value in the expansion area and compression area is expanded and compressed by linear transformation, and finally the purpose of image enhancement is achieved. The algorithm is relatively simple in operation and does not involve complex operations. At the same time, it overcomes the shortcomings of enhancing the background and noise, inability to effectively enhance the target gray level, and dark image brightness encountered in the process of direct linear transformation of gray scale.

The invention discloses a phase modulation code rate estimation method based on a peak position, and relates to the technical field of code rates. The phase modulation code rate estimation method based on the peak position is specifically carried out in the following order: find the point where the peak value of the received phase modulation signal is located, and obtain a signal peak point sequence; perform linear fitting on the signal peak point sequence to obtain a fitting sequence; The difference between the above-mentioned signal peak point sequence and the fitting sequence is obtained to obtain the fitting difference sequence; the analysis of the fitting difference sequence shows that when the phase changes suddenly, the difference sequence value of the corresponding fitting difference sequence will also When a mutation occurs, the distance between adjacent mutation points is obtained, and the minimum value of the distance is obtained as the code element period, and the code element rate is obtained by taking the reciprocal of the code element period.

The invention relates to a driver fatigue detection method based on face video analysis, belonging to the field of vehicle active safety and mode recognition. The method comprises the steps of: carrying out face detection on a face image to be detected for primarily positioning local organs, such as eyes, nose and mouth; further obtaining face characteristic points positioned accurately; and finally, on the basis of an accurate positioning result of multiple frames of face characteristic points to be detected, carrying out quantization description on a face motion characteristic, and obtaining the result of fatigue detection on a driver to be detected according to a face motion statistical indicator. The driver fatigue detection method has high reliability, has no special requirements on hardware, does not involve complex operation, and has good instantaneity so as to be applied in real time in practice. The driver fatigue detection method has better robustness on the aspects of eyeglasses wearing, face angles, nonuniform illumination and the like, and can be suitable for various types of vehicles for reminding a driver of being in a fatigue state so that traffic accidents are avoided.