Method and system for quickly identifying and counting votes on the basis of layout analysis
A statistical method and layout analysis technology, applied in character and pattern recognition, calculation, computer parts, etc., can solve problems such as poor applicability, low work efficiency, and low accuracy
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Embodiment 1
[0069] refer to Figure 1 ~ Figure 3 , a method for rapid identification and statistics of ballots based on layout analysis, the method for rapid identification and statistics of ballots comprises the following steps:
[0070] (1) Scan the ballot into a ballot image;
[0071] (2), the ballot image is preprocessed, first the ballot image is converted into a binary image, and then smoothed and thinned; and the predefined semantics of the voting symbols are established, and the voting symbols include ticks, crosses and circles, According to the analysis of image shape features, the vertical line feature is used to distinguish hooks, circles, and forks, and the local direction features of contours are used to distinguish circles and forks;
[0072] (3) Enhance the preprocessed ballot image, select effective sub-regions, detect the edge line of the form, extract the edge points of the form line to establish an edge point set, and establish a local slope feature set for each edge p...
Embodiment 2
[0153] refer to Figure 1-Figure 3 , a ballot rapid identification and statistics system based on layout analysis, including: an image acquisition module, used to scan the ballot into a ballot image; an image preprocessing and pre-defined semantic module, used to preprocess the ballot image, firstly, the ballot image Convert it into a binary image, and then perform smoothing and thinning processing; and establish the predefined semantics of voting symbols, which include ticks, crosses and circles. According to the analysis of image shape features, vertical line features are used to distinguish ticks and circles, Fork, the circle and fork are distinguished by the local direction feature of the contour; the image tilt correction module is used to enhance the preprocessed ballot image, select effective sub-regions, detect the edge line of the table, and extract the edge points of the table line to establish the edge point set, and establish a local slope feature set for each edge...
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