Abstract:
An apparatus and a method for recognizing a hand shape by using a finger pattern are disclosed. The throughput of data used to recognize a hand shape is reduced and the hand shape can be quickly recognized by setting in advance a finger pattern in accordance with one or more hand shapes, calculating edges for each pixel line of an input image, detecting finger feature data by using a preset feature reference value, detecting a finger candidate pattern by using the detected finger feature data, and recognizing a hand shape corresponding to a finger pattern that matches the detected finger candidate pattern.
Abstract:
An intelligent information providing method and terminal are provided. The method includes detecting a pen touch input; determining an environment in which the pen touch input is made; collecting information corresponding to the pen touch input; building a context model for the collected information, in consideration of the environment in which the pen touch input is made; and providing inference information corresponding to the built context model.
Abstract:
A method and a device for recognizing a document image, and a photographing method using the same are provided. The method includes extracting, from an input image, a primary feature, including information on feature points, by determining each pixel that is not similar to comparison pixels to be a feature point through a comparison of the pixel to the comparison pixels spaced a predetermined distance apart from the pixel, and classifying the input image as a document image or a non-document image by applying preset primary classification criteria, including criteria for the total number of the feature points to the primary feature.
Abstract:
An apparatus and a method for recognizing a hand shape by using a finger pattern are disclosed. The throughput of data used to recognize a hand shape is reduced and the hand shape can be quickly recognized by setting in advance a finger pattern in accordance with one or more hand shapes, calculating edges for each pixel line of an input image, detecting finger feature data by using a preset feature reference value, detecting a finger candidate pattern by using the detected finger feature data, and recognizing a hand shape corresponding to a finger pattern that matches the detected finger candidate pattern.