Extraction of bibliography information based on image of book coverExtraction of bibliography information based on image of book cover
【title】：Extraction of bibliography information based on image of book coverExtraction of bibliography information based on image of book cover 【Authors】：Hua Yang; Onda, N.; Kashimura, M.; Ozawa, S. 【Subject】：edge detection; image colour analysis; bibliographic systems; image classification; image segmentation; feature extraction; bibliography information extraction; book cover image; color image; bibliography regions; preprocessing; color space segmentation; test region extraction; classification; edge line extraction; geometric correction; spine; HSI color space; achromatic regions; chromatic regions; fundamental features; stroke width; local label width; text regions; author; title; publisher 【Page】：921_926【CorporateSource】：Dept. of Electr. Eng., Keio Univ., Yokohama, Japan【ConferenceDte】：27-29 Sept. 1999 【ISSN】：0-7695-0040-4【Volume】：【Issue】：【Part】：【pdfd】：IELDVD032:6462:17274:797713【File Size】：282K 【Part】：【PublishDate】：1999【AccessionNumber】：6489049【Publisher】：Image Analysis and Processing, 1999. Proceedings. International Conference on【TotalPage】：xxii+1232 【Abstract】：This paper describes a new system for extracting and classifying bibliography regions from the color image of a book cover. The system consists of three major components: preprocessing, color space segmentation, and test region extraction and classification. Preprocessing extracts the edge lines of the book, gets the basic information, and geometrically corrects and segments the input image, into the parts of front cover, spine, and back cover. The same as in all color image processing research, the segmentation of the color space is an essential and important step here. Instead of the RGB color space, the HSI color space is used in this system. The color space is segmented into achromatic and chromatic regions first; and both the achromatic and chromatic regions are segmented further to complete color space segmentation. Then test region extraction and classification follows. After detecting fundamental features (stroke width and local label width) text regions are determined. By comparing the text regions on the front cover with those on the spine, all extracted test regions are classified into suitable bibliography categories: author, title, publisher, and other information, without applying OCR.
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