Toru Niki

US Patent:

6512848, Jan 28, 2003

Filed:

Nov 18, 1996

Appl. No.:

08/751677

Inventors:

Toru Niki - Irvine CA

Assignee:

Canon Kabushiki Kaisha - Tokyo

International Classification:

G06K 934

US Classification:

382176, 358462

Abstract:

A method for increasing the accuracy of image data classification in a page analysis system for analyzing image data of a document page. The method includes inputting image data of a document page as pixel data, analyzing the pixel data in order to locate all connected pixels, rectangularizing connected pixel data into blocks, analyzing each of the blocks of pixel data in order to determine the type of image data contained in the block, outputting an attribute corresponding to the type of image data determined in the analyzing step, and performing optical character recognition to attempt to recognize a character of the block of image data in the case that the analyzing step cannot determine the type of image data contained in the block.

US Patent:

6762771, Jul 13, 2004

Filed:

Aug 18, 1998

Appl. No.:

09/135648

Inventors:

Toru Niki - Irvine CA
Tsukasa Aiba - Irvine CA

Assignee:

Canon Kabushiki Kaisha - Tokyo

International Classification:

G05G 500

US Classification:

345700, 358 113, 345813

Abstract:

A device driver for use in a computer system includes process steps to detect data corresponding to at least one system resource of the computer system, to determine a default operational mode from a plurality of operational modes of a device based on the data corresponding to at least one system resource, and to provide a user interface for selecting an operational mode from the plurality of operational modes.

US Patent:

60553367, Apr 25, 2000

Filed:

Nov 18, 1996

Appl. No.:

8/751755

Inventors:

Toru Niki - Irvine CA

Assignee:

Canon Kabushiki Kaisha - Tokyo

International Classification:

G06K 936

US Classification:

382237

Abstract:

An optical character recognition system recognizes character images in a document image comprised of character areas and non-character areas. The system includes a step of obtaining multi-value image data representing the document image, the multi-value image data having a first resolution and comprising plural pixels each having a pixel density value. The system binarizes the multi-value image data to produce binary image data having a second resolution for the document image, the second resolution being greater than the first resolution. The target pixel in the multi-value image data is binarized based on pixels adjacent to the target pixel. The system further includes steps for performing block selection on the binary image data for the document image in order to identify character areas of the document image and non-character areas of the document image, and performing optical character recognition processing on binary image data for the character areas of the document image to obtain computer codes for recognized character images in the character areas.

US Patent:

58931279, Apr 6, 1999

Filed:

Nov 18, 1996

Appl. No.:

8/751676

Inventors:

Ching-Yu Tyan - Irvine CA
Hung Khei Huang - Lake Forest CA
Toru Niki - Irvine CA

Assignee:

Canon Information Systems, Inc. - Irvine CA

International Classification:

G06F 1700

US Classification:

707513

Abstract:

Automatic generation of hypertext markup language (HTML) files based on bitmap image data, which faithfully preserves layout information of an original document from which the bitmap data was obtained. Generally, multi-column document layouts result in automatic generation of HTML files that use HTML "table tags" to display each of the different columns. More particularly, a bitmap image is obtained such as by scanning or retrieval of a pre-existing image, and the bitmap image is segmented into blocks. The location of each block is determined, each block is analyzed in preparation for insertion of appropriate data into an HTML file, and layout analysis is performed to identify layout relationships between the blocks based on the relative locations of the blocks in the bitmap image. Based on the layout relationships, a block type is determined for each block, column span and row span data for each block is determined, blocks are re-ordered if needed, and an HTML file is generated in which blocks are tagged as data elements in a row of an HTML "table tag" based on block type and based on column and row span information for the block.