Abstract: Systems and methods for guided personal identity based actions are provided. In example embodiments, a user-specified action from a first user device of a first user is received. The user-specified action pertains to the first user and uses data of the first user when performed. The user-specified action is linked to an identifier. An indication of the identifier is received from a second user device of a second user. In response to receiving the indication of the identifier, the user-specified action linked to the identifier is identified, the data of the first user is accessed, a user interface that includes an option to perform the user-specified action using the data of the first user is generated, and the generated user interface is presented on the second user device.

Abstract: Systems and methods for guided personal identity based actions are provided. In example embodiments, a user-specified action from a first user device of a first user is received. The user-specified action pertains to the first user and uses data of the first user when performed. The user-specified action is linked to an identifier. An indication of the identifier is received from a second user device of a second user. In response to receiving the indication of the identifier, the user-specified action linked to the identifier is identified, the data of the first user is accessed, a user interface that includes an option to perform the user-specified action using the data of the first user is generated, and the generated user interface is presented on the second user device.

Abstract: Systems and methods for guided personal identity based actions are provided. In example embodiments, a user-specified action from a first user device of a first user is received. The user-specified action pertains to the first user and uses data of the first user when performed. The user-specified action is linked to an identifier. An indication of the identifier is received from a second user device of a second user. In response to receiving the indication of the identifier, the user-specified action linked to the identifier is identified, the data of the first user is accessed, a user interface that includes an option to perform the user-specified action using the data of the first user is generated, and the generated user interface is presented on the second user device.

Abstract: Systems and methods for guided personal identity based actions are provided. In example embodiments, a user-specified action from a first user device of a first user is received. The user-specified action pertains to the first user and uses data of the first user when performed. The user-specified action is linked to an identifier. An indication of the identifier is received from a second user device of a second user. In response to receiving the indication of the identifier, the user-specified action linked to the identifier is identified, the data of the first user is accessed, a user interface that includes an option to perform the user-specified action using the data of the first user is generated, and the generated user interface is presented on the second user device.

Abstract: Systems and methods for custom functional patterns for optical barcodes are provided. In example embodiments, image data of an image is received from a user device. A candidate shape feature of the image is extracted from the image data. A determination is made that the shape feature satisfies a shape feature rule. In response to the candidate shape feature satisfying the shape feature rule, a custom graphic in the image is identified by comparing the candidate shape feature with a reference shape feature of the custom graphic. In response to identifying the custom graphic, data encoded in a portion of the image is decoded.

Abstract: Systems and methods for guided personal identity based actions are provided. In example embodiments, a user-specified action from a first user device of a first user is received. The user-specified action pertains to the first user and uses data of the first user when performed. The user-specified action is linked to an identifier. An indication of the identifier is received from a second user device of a second user. In response to receiving the indication of the identifier, the user-specified action linked to the identifier is identified, the data of the first user is accessed, a user interface that includes an option to perform the user-specified action using the data of the first user is generated, and the generated user interface is presented on the second user device.

Abstract: Systems and methods for guided personal identity based actions are provided. In example embodiments, a user-specified action from a first user device of a first user is received. The user-specified action pertains to the first user and uses data of the first user when performed. The user-specified action is linked to an identifier. An indication of the identifier is received from a second user device of a second user. In response to receiving the indication of the identifier, the user-specified action linked to the identifier is identified, the data of the first user is accessed, a user interface that includes an option to perform the user-specified action using the data of the first user is generated, and the generated user interface is presented on the second user device.

Abstract: Systems and methods for custom functional patterns for optical barcodes are provided. In example embodiments, image data of an image is received from a user device. A candidate shape feature of the image is extracted from the image data. A determination is made that the shape feature satisfies a shape feature rule. In response to the candidate shape feature satisfying the shape feature rule, a custom graphic in the image is identified by comparing the candidate shape feature with a reference shape feature of the custom graphic. In response to identifying the custom graphic, data encoded in a portion of the image is decoded.

Abstract: Systems and methods for custom functional patterns for optical barcodes are provided. In example embodiments, image data of an image is received from a user device. A candidate shape feature of the image is extracted from the image data. A determination is made that the shape feature satisfies a shape feature rule. In response to the candidate shape feature satisfying the shape feature rule, a custom graphic in the image is identified by comparing the candidate shape feature with a reference shape feature of the custom graphic. In response to identifying the custom graphic, data encoded in a portion of the image is decoded.

Abstract: Systems and methods for custom functional patterns for optical barcodes are provided. In example embodiments, image data of an image is received from a user device. A candidate shape feature of the image is extracted from the image data. A determination is made that the shape feature satisfies a shape feature rule. In response to the candidate shape feature satisfying the shape feature rule, a custom graphic in the image is identified by comparing the candidate shape feature with a reference shape feature of the custom graphic. In response to identifying the custom graphic, data encoded in a portion of the image is decoded.

Abstract: Systems and methods for custom functional patterns for optical barcodes are provided. In example embodiments, image data of an image is received from a user device. A candidate shape feature of the image is extracted from the image data. A determination is made that the shape feature satisfies a shape feature rule. In response to the candidate shape feature satisfying the shape feature rule, a custom graphic in the image is identified by comparing the candidate shape feature with a reference shape feature of the custom graphic. In response to identifying the custom graphic, data encoded in a portion of the image is decoded.

Abstract: Systems and methods for custom functional patterns for optical barcodes are provided. In example embodiments, image data of an image is received from a user device. A candidate shape feature of the image is extracted from the image data. A determination is made that the shape feature satisfies a shape feature rule. In response to the candidate shape feature satisfying the shape feature rule, a custom graphic in the image is identified by comparing the candidate shape feature with a reference shape feature of the custom graphic. In response to identifying the custom graphic, data encoded in a portion of the image is decoded.

Abstract: Systems and methods for custom functional patterns for optical barcodes are provided. In example embodiments, image data of an image is received from a user device. A candidate shape feature of the image is extracted from the image data. A determination is made that the shape feature satisfies a shape feature rule. In response to the candidate shape feature satisfying the shape feature rule, a custom graphic in the image is identified by comparing the candidate shape feature with a reference shape feature of the custom graphic. In response to identifying the custom graphic, data encoded in a portion of the image is decoded.

Abstract: Systems and methods for custom functional patterns for optical barcodes are provided. In example embodiments, image data of an image is received from a user device. A candidate shape feature of the image is extracted from the image data. A determination is made that the shape feature satisfies a shape feature rule. In response to the candidate shape feature satisfying the shape feature rule, a custom graphic in the image is identified by comparing the candidate shape feature with a reference shape feature of the custom graphic. In response to identifying the custom graphic, data encoded in a portion of the image is decoded.

Abstract: Systems and methods for custom functional patterns for optical barcodes are provided. In example embodiments, image data of an image is received from a user device. A candidate shape feature of the image is extracted from the image data. A determination is made that the shape feature satisfies a shape feature rule. In response to the candidate shape feature satisfying the shape feature rule, a custom graphic in the image is identified by comparing the candidate shape feature with a reference shape feature of the custom graphic. In response to identifying the custom graphic, data encoded in a portion of the image is decoded.