Abstract: A voice recognition lamp capable of networking comprising: an audio collection element, a voice processing unit, a control unit, an electroluminescent element, an RF communication module, and a storage unit containing pre-stored voice sample data of commands to operate the lamp, voice ID data of the lamps in the network, and radio frequency communication addresses corresponding to same; the voice processing unit compares received audio information with the pre-stored data in order to acquire the radio frequency communication address and operating command corresponding to the matched audio information, the RF communication module being used for sending the operating command to the voice recognition lamp corresponding to the radio frequency address, and the control unit being used for controlling the electroluminescent element to execute the corresponding operating command. The operation is simple, and remote control of a smart terminal can be implemented.

Abstract: A voice recognition lamp capable of networking comprising: an audio collection element, a voice processing unit, a control unit, an electroluminescent element, an RF communication module, and a storage unit containing pre-stored voice sample data of commands to operate the lamp, voice ID data of the lamps in the network, and radio frequency communication addresses corresponding to same; the voice processing unit compares received audio information with the pre-stored data in order to acquire the radio frequency communication address and operating command corresponding to the matched audio information, the RF communication module being used for sending the operating command to the voice recognition lamp corresponding to the radio frequency address, and the control unit being used for controlling the electroluminescent element to execute the corresponding operating command. The operation is simple, and remote control of a smart terminal can be implemented.

Abstract: Feature vectors used in discrimination of images include information on feature blocks of images in an image-document retrieving apparatus of the present invention. Text areas of a page image document are combined to form rectangular images. On the basis of information on the rectangular images that are extracted, a geometric structure of the page is analyzed, the page image document is divided into plural blocks, and then a plurality of feature blocks describing features of the page document image are selected from the plural blocks. The feature vectors are constituted of information on the feature blocks thus selected. This makes it possible to provide an image-document retrieving apparatus and a method of retrieving image documents, by which retrieval of image documents containing mainly text and a graphic is improvable in accuracy.

Abstract: An information processing device includes: a feature extracting section for extracting, as format information, a format feature of a process-target document from image data of the process-target document, on which filling-in spaces of plural items are printed; a document recognizing section for comparing the format information of the process-target document with registered format information stored in a storage device, and specifying a registered document that corresponds to the process-target document, the registered format information regarding format features of registered documents; a data acquiring section for converting characters in the image data of the process-target document into text data; and a distributing section for grouping the image data and text data of the characters into plural groups according to a separation rule that is set for the registered document, the characters being written in the fill-in spaces of the items of the process-target document, and for transmitting the different group

Abstract: Feature vectors used in discrimination of images include information on feature blocks of images in an image-document retrieving apparatus of the present invention. Text areas of a page image document are combined to form rectangular images. On the basis of information on the rectangular images that are extracted, a geometric structure of the page is analyzed, the page image document is divided into plural blocks, and then a plurality of feature blocks describing features of the page document image are selected from the plural blocks. The feature vectors are constituted of information on the feature blocks thus selected. This makes it possible to provide an image-document retrieving apparatus and a method of retrieving image documents, by which retrieval of image documents containing mainly text and a graphic is improvable in accuracy.