Abstract: The present disclosure provides a method and an apparatus for identifying a dark web website in a scenario where a plurality of pages are accessed simultaneously. The method includes: obtaining browsed network traffic packets of websites to be identified, and extracting direction sequence features from the network traffic packets; dividing the direction sequence features into a plurality of subsequence features based on a plurality of sliding windows, and inputting the plurality of subsequence features into a neural network model to extract preset pattern features; analyzing a correlation of the preset pattern features using a target website identification model to obtain a probability result of a target website being accessed; obtaining a target website identification result in the website to be identified based on the probability results and a preset classification model.

Abstract: A character recognition device includes an acquisition means configured to acquire an image containing a character region, a first recognition means configured to recognize a character from the character region by a first recognition method, a setting means configured to set reference lines along an alignment direction of the characters and passing through a specified position in each character, a second recognition means configured to recognize a character by a second recognition method, the second recognition method being a method that recognizes a character from an image within a recognition window by scanning in a recognition target region in an image while changing a size of the recognition window, and configured to set a position or a height in a vertical direction of the recognition window based on the reference lines, and an output means configured to output a word composed of characters recognized by the second recognition means.

Abstract: A character recognition device includes an acquisition means configured to acquire an image containing a character region, a first recognition means configured to recognize a character from the character region by a first recognition method, a setting means configured to set reference lines along an alignment direction of the characters and passing through a specified position in each character, a second recognition means configured to recognize a character by a second recognition method, the second recognition method being a method that recognizes a character from an image within a recognition window by scanning in a recognition target region in an image while changing a size of the recognition window, and configured to set a position or a height in a vertical direction of the recognition window based on the reference lines, and an output means configured to output a word composed of characters recognized by the second recognition means.

Abstract: An image processing device according to one embodiment includes a calculation unit and a setting unit. The calculation unit calculates a degree of complexity indicating a degree of positional dispersion of edges in a target region where a text region is to be extracted. The setting unit sets an edge threshold for detecting the text region to low as the degree of complexity is low.

Abstract: An image processing device according to one embodiment includes an acquisition unit, a first specifying unit, and a second specifying unit. The acquisition unit acquires an edge between a text region where the translucent text is superimposed and a background region where the translucent text is not superimposed. The first specifying unit acquires a plurality of pairs of a representative color in the text region and a representative color in the background region adjacent to each other with the edge placed therebetween, and specifies a text color and transparency of the translucent text from the plurality of pairs. The second specifying unit specifies a pixel color before the translucent text is superimposed for each pixel in the text region from a pixel color after the translucent text is superimposed, the text color and the transparency.

Abstract: An image processing device according to one embodiment includes an acquisition unit, a first specifying unit, and a second specifying unit. The acquisition unit acquires an edge between a text region where the translucent text is superimposed and a background region where the translucent text is not superimposed. The first specifying unit acquires a plurality of pairs of a representative color in the text region and a representative color in the background region adjacent to each other with the edge placed therebetween, and specifies a text color and transparency of the translucent text from the plurality of pairs. The second specifying unit specifies a pixel color before the translucent text is superimposed for each pixel in the text region from a pixel color after the translucent text is superimposed, the text color and the transparency.

Abstract: An image processing device according to one embodiment includes a calculation unit and a setting unit. The calculation unit calculates a degree of complexity indicating a degree of positional dispersion of edges in a target region where a text region is to be extracted. The setting unit sets an edge threshold for detecting the text region to low as the degree of complexity is low.