International Business Machines Corporation

Michitoshi Sumikawa

Toshimichi Arima

Shin Katoh

Hiroyasu Takahashi

Akiko Takahashi, Legal Representative

An output mechanism of a character recognition device includes a category classifier for classifying image data of characters to be recognized for each category recognized in character recognition processing, a clustering processor for determining feature values related to shapes of characters included in the image data in each category classified by the category classifier, and for classifying the image data into one or more clusters based on the feature values, and a screen creator for creating a confirmation screen for displaying the image data for each cluster classified by the clustering processor.

Device for outputting character recognition results, character recognition device, and program therefor

Method for outputting character recognition results

A technique which can generate stable virtual page marks even in a non-OCR form to stably identify the form. Key segments which can be stably detected within a form are predefined for the detection of virtual page marks, and the virtual page marks (circumscribed rectangle) are generated on the basis of the key segments. Redundancy is bestowed on the detection of the key segments, and substitute segments are defined so as to generate the virtual page marks on the basis of them even in a case where the key segment has failed to be detected due to a stain, a partial lack or the like.

Image processing method, image processing system and program

An object is to enable designation of character frames and recognition of characters even where a document does not have any page mark or reference mark nor does a scanner have a function for detecting an edge of the document. Also, to enable identification processing of a bitmap image in an accerelated manner by comparing bitmap images on the basis of a circumscribed rectangle, which is formed solely from horizontal line segments that are recognizable at high-speed. In a case of identifying a bitmap image comprising horizontal line segments such as character frames or grid lines on a document (as done in an OCR when it detects a document without page marks but with black character frames and recognizes characters), the horizontal line segments are extracted as a feature of the document, a circumscribed rectangle is formed within an area generated by the horizontal line segments such that it is used as information for identifying an estimated basis of character frame's positions and a class of the document. Applying this to an OCR, it becomes possible to identify even a document without page marks or reference marks thereon. Also, comparing the extracted horizontal line segments themselves with horizontal line segments of pre-registered document definition set to determine similarity between them, it becomes possible to identify a document in a more precise manner.

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Yamato, Japan

Michitoshi Sumikawa