Abstract: A method and a device for processing an image, an electronic device and a computer readable storage medium are provided. The method includes: obtaining an image capturing instruction; capturing an infrared image and an RGB image based on the image capturing instruction, extracting a first feature of the infrared image and extracting a second feature of the RGB image; and performing an alignment operation based on the first feature and the second feature.

Abstract: An electronic device and method for recognizing a real face are provided. The electronic device includes a face image acquisition device and a processor connected to the face image acquisition device. The face image acquisition device is configured to acquire a plurality of face images of a face at a plurality of focal lengths within a first focal length range. The plurality of face images correspond to a plurality of focus planes respectively. The processor is configured to determine at least one face images with a higher definition out of the plurality of the face images, and form a second focal length range with focal lengths of the at least one face images. The processor is further configured to determine that the face is a real face according to the second focal length range.

Abstract: A method and an apparatus for invoking a fingerprint identification device are provided. The method includes the following. When a request of a current application to invoke a fingerprint identification device is detected, whether the fingerprint identification device is occupied by a historical application is determined. When the fingerprint identification device is occupied by the historical application, whether the current application meets a preset invoking condition is determined, and then the fingerprint identification device is controlled to process the request of the current application according to the determination result.

Abstract: Embodiments of the present disclosure provide a control method for enrolling face template data and related products. The control method includes: controlling a face image collection device to capture a face image and generate face template data; acquiring via the face recognition service a dynamic check token sent by the face recognition trusted application; sending a face template enrolling command carrying the dynamic check token and the face template data to the face recognition trusted application via the face recognition service; and verifying the dynamic check token in the face template enrolling command is valid and storing the face template data in the security system via the face recognition trusted application.

Abstract: Described are techniques for determining relevant upgrades for customers. Data storage system configuration information describing existing data storage system configurations for one or more customers is received. One or more service pack documents are received. Each of the one or more service pack documents may include one or more rules denoting data storage system configuration conditions relevant to functionality performed in a software upgrade associated with each service pack document. Analysis is performed, such as by a risk analytic engine, of the data storage system configuration information in accordance with the one or more service pack documents. Processing includes identifying, in accordance with the analysis, which of the one or more service pack documents identify a software upgrade relevant to the data storage system configurations of the customers.

Abstract: Provided are a method and apparatus for turning on a screen, a mobile terminal and a storage medium. The method comprises that: when a change in a moving state of a mobile terminal meets a preset unlocking condition, a structured light image sensor is activated for imaging; a depth map obtained by the imaging of the structured light image sensor is acquired; a face depth model is constructed according to the depth map; a position of pupils is identified from the face depth model; and when the position of the pupils is within a specified region of eyes, the screen of the mobile terminal is controlled to turn on.

Abstract: A method and device for face identification, and a mobile terminal and a storage medium are provided. The method includes: (101) an image sensor is controlled to perform imaging; (102) imaging data obtained by the image sensor through the imaging is acquired; and (103) liveness detection is performed on an imaging object based on the imaging data.

Abstract: A method for iris recognition performed by related products includes the following. A mobile terminal collects a target black-and-white iris image through an iris camera and collects a target color iris image through a front camera, when an iris collecting instruction is received. The target color iris image is displayed in an iris recognition area of a display screen, where the target color iris image is configured to hint a user that the mobile terminal is performing iris recognition. The target black-and-white iris image is processed for iris recognition.

Abstract: An electronic device and method for recognizing a real face are provided. The electronic device includes a face image acquisition device and a processor connected to the face image acquisition device. The face image acquisition device is configured to acquire a plurality of face images of a face at a plurality of focal lengths within a first focal length range. The plurality of face images correspond to a plurality of focus planes respectively. The processor is configured to determine at least one face images with a higher definition out of the plurality of the face images, and form a second focal length range with focal lengths of the at least one face images. The processor is further configured to determine that the face is a real face according to the second focal length range.

Abstract: Embodiments disclose an iris image acquisition method and a related product. According to the method, a mobile terminal acquires a current ambient brightness value of the mobile terminal. A target working mode of an infrared acquisition device is determined according to the current ambient brightness value. An iris image of a current user is acquired in the target working mode via the infrared acquisition device.

Abstract: A method is provided for a hyper-converged storage-compute system to implement an active-active failover architecture for providing Internet Small Computer System Interface (iSCSI) target service. The method intelligently selects multiple hosts to become storage nodes that process iSCSI input/output (I/O) for a target. The method further enables iSCSI persistent reservation (PR) to handle iSCSI I/Os from multiple initiators.

Abstract: An image processing method and device, a computer-readable storage medium and an electronic device are provided. The method includes that: a target infrared image and a target depth image are acquired, and face detection is performed according to the target infrared image to determine a target face region, here, the target depth image is used to represent depth information corresponding to the target infrared image; a target face attribute parameter corresponding to the target face region is acquired, and face matching processing is performed on the target face region according to the target face attribute parameter; responsive to that face matching succeeds, liveness detection processing is performed on the target face region according to the target depth image to obtain a liveness detection result; and a face verification result is obtained according to the liveness detection result.

Abstract: Embodiments of the present disclosure relate to mobile terminal technologies, a facial recognition method and related products are provided. The method includes: acquiring a face image by a mobile terminal; extracting face feature information from the face image and matching the face feature information with a predetermined face feature template by a central processing unit (CPU) of the mobile terminal; performing liveness detection according to the face image by a graphics processing unit of the mobile terminal when the CPU extracts the face feature information from the face image and matches the face feature information with the predetermined face feature template.

Abstract: A fingerprint image recognition method is provided. The method includes: acquiring a target image from a captured texture image; acquiring target shape features corresponding to the target image, the target shape feature being configured to represent a shape feature of the target image; and when the target shape features matches with a preset finger shape feature, determining to perform a fingerprint recognition on the texture image. Also provided in the present invention are a fingerprint image recognition apparatus and a terminal.

Abstract: An electronic device and method for recognizing a real face are provided. The electronic device includes a face image acquisition device and a processor connected to the face image acquisition device. The face image acquisition device is configured to acquire a plurality of face images of a face at a plurality of focal lengths within a first focal length range. The plurality of face images correspond to a plurality of focus planes respectively. The processor is configured to determine at least one face images with a higher definition out of the plurality of the face images, and form a second focal length range with focal lengths of the at least one face images. The processor is further configured to determine that the face is a real face according to the second focal length range.

Abstract: An apparatus for imaging and a terminal device include a front camera configured to capture a visible light iris image, an iris recognition camera configured to capture an infrared iris image, and an infrared fill-light configured to emit infrared light when the iris recognition camera capturing the infrared iris image. The front camera and the iris recognition camera are packaged into an integrated unit. The integrated unit is coupled with a circuit board. The infrared fill-light is disposed at one side of the circuit board and adjacent to the integrated unit.

Abstract: A method is provided for a hyper-converged storage-compute system to implement an active-active failover architecture for providing Internet Small Computer System Interface (iSCSI) target service. The method intelligently selects multiple hosts to become storage nodes that process iSCSI input/output (I/O) for a target. The method further enables iSCSI persistent reservation (PR) to handle iSCSI I/Os from multiple initiators.

Abstract: Disclosed are a method and a related product for recognizing a live face. The method is applied to a terminal device including a front light emitting source, a front camera and an Application Processor (AP). The method includes the following actions. Upon reception of a face image collection instruction, the camera collects a first face image of a face when the source is in a first state. The camera collects a second face image of the face when the source is in a second state. The AP determines whether a difference between an eyeball area proportion in the first face image and an eyeball area proportion in the second face image is larger than a preset threshold; and if so, the AP determines that the collected face images are images of a live face.

Abstract: Provided are a method for securely calling fingerprint information, an apparatus for securely calling fingerprint information, and a mobile terminal. The method includes: receiving a request for calling the fingerprint information (S101); according to a unique identification in an application process sending the request for calling the fingerprint information, determining whether the application corresponding to the application process is a legitimate application (S102); when it is determined that the application corresponding to the application process is a legitimate application, allowing the application corresponding to the application process to call the fingerprint information (S103).

Abstract: Disclosed are a method and mobile terminal for processing an image and storage medium. The method includes collecting color information of a target object; determining at least one of multiple pre-stored compensation parameters as at least one compensation parameter corresponding to the color information; and during iris collection, compensating an iris based on the at least one target compensation parameter to obtain a color iris image.