The invention relates to a device for the biometric acquisition and processing of an image of a part of the human body with dermatoglyphs, comprising a contact surface (3) configured so that the part of the human body is affixed to this contact surface (3), a light source (4) configured to project onto the part of the human body a light pattern having a sinusoidal modulation of light intensity in a main direction with a target frequency, an imager (2) configured to acquire an image, and an automated data processing system (7) configured to implement a fraud detection method and a biometric identity recognition method using a periodic component parameter representative of an amplitude of a sinusoidal oscillation of light intensity in the acquired image in accordance with the main direction at the target frequency.

A method for controlling a terminal apparatus includes acquiring a first gesture image; determining a central coordinate of a gesture in the first gesture image; determining a controlling range in which the gesture has control over the terminal apparatus, based on the central coordinate of the gesture in the first gesture image; and controlling a control object in the controlling range to execute an operation based on a control instruction corresponding to the gesture.

A centrifugal protective hair blower, comprising a plastic shell for wrapping powered devices of the blower, wherein the plastic shell is made of polycarbonate casting; an electric heating device which is arranged in the plastic shell of the hair blower, composed of a two to three sections electric heating wire, and is used to control the blowing temperature of the hair blower; a hemispherical picture-shooting mechanism, which includes a trailing measurement device, an image interception device, a data analysis device, a DC drive motor, an optical filter, optical lens and an image sensing device; an electric heating device, which is connected with a vector analysis device, and is used to reduce the blowing temperature of the hair blower when the target type is a cat, a dog or a rabbit. Through the present invention, it is capable of preventing the hair blower from causing unwarranted injury to surrounding pets.

A method for verifying a security document by means of a reading device wherein first transmission and/or reflection properties of a first region of the security document are detected in a first spectral range by the reading device and a first data set specifying these properties is generated therefrom, wherein the first region at least in some regions overlaps an optical security element arranged on the security document or embedded in the security document and wherein second transmission and/or reflection properties of the first region of the security document are detected in a second spectral range by the reading device and a second data set specifying these properties is generated therefrom, wherein the first spectral range differs from the second spectral range, and wherein, the authenticity of the security document and/or of the security element is checked on the basis of at least the first data set and the second data set.

An image recognition approach employs both computer generated and manual image reviews to generate image tags characterizing an image. The computer generated and manual image reviews can be performed sequentially or in parallel. The generated image tags may be provided to a requester in real-time, be used to select an advertisement, and/or be used as the basis of an internet search. In some embodiments generated image tags are used as a basis for an upgraded image review. A confidence of a computer generated image review may be used to determine whether or not to perform a manual image review. Images and their associated image tags are optionally added to an image sequence.

An information processing apparatus includes a processor configured to execute first preprocessing on acquired image data, and execute second preprocessing on a specified partial region of the image data as a target in a case where information for specifying at least one partial region in an image corresponding to the image data is received from post processing on which the image data after the first preprocessing is processed.

A reinforcement learning method and apparatus includes storing video frames in a video memory, performing a first preprocessing step of retrieving a sequence of n image frames of the stored video frames, and merging the n image frames in a fading-in fashion by incrementally increasing the intensity of each frame up to the most recent frame having full intensity to obtain a merged frame; and performing a training step of inputting the merged frame to the DQN and training the DQN to learn Q-values for all possible actions from a state represented by the merged frame with only a single forward pass through the network. The learning method and apparatus includes a second preprocessing step of removing the background from the merged frame. The method can be applied to any DQN learning method that uses a convolution neural network as its core value function approximator.

In the present disclosure, a candidate area is determined based on a pixel having a specific color included in an input image, and an area is determined to be a processing target from the candidate area based on a pixel having a predetermined color different from the specific color included in the candidate area. Further, a second binary image in which a pixel corresponding to the pixel having the specific color is converted into a white pixel is generated by converting, in a first binary image obtained by the input image being binarized, a pixel that is included in the area determined to be the processing target and corresponds to the pixel having the specific color, into a white pixel.

The embodiment of the disclosure provides an unlocking control method and related products. The method includes: acquiring an environmental parameter; acquiring first biometric information; determining a first biometric control parameter and second biometric control information corresponding to the environmental parameter; performing a first biometric recognition on the first biometric information according to the first biometric control parameter; when the first biometric information is recognized, acquiring second biometric information and performing a second biometric recognition on the second biometric information according to the second biometric control information; performing a next unlocking process when the second biometric information is recognized. Thus, control parameters of recognition processes can be set suitable for the environment, and recognition processes are controlled based on these control parameters, thereby improving the pass rate and the efficiency of the multi-biometric recognition.

An image processing apparatus includes a processor including hardware. The processor is configured to: calculate a hue of each pixel of a stained image that is input from outside; execute classification on each pixel of the stained image based on the hue; modulate a color tone of the pixel of the stained image in each class having undergone the classification; combine a plurality of input images to generate a combined image; calculate a color distribution of each pixel of the combined image; execute classification on each pixel of the combined image by using the color distribution; and calculate an average hue of each class having undergone the classification on each pixel of the combined image based on the color distribution and a classification result of classification of the combined image so as to calculate a standard hue.