Word spotting in bitmap images using text line bounding boxes an

Details Word spotting in bitmap images using text line bounding boxes an Word spotting in bitmap images using text line bounding boxes an

1994-11-09

1998-04-28

Mancuso, Joseph

Image analysis

Pattern recognition

Template matching

382228, G06K 968

Patent

active

057456003

ABSTRACT:
Font-independent spotting of user-defined keywords in a scanned image. Word identification is based on features of the entire word without the need for segmentation or OCR, and without the need to recognize non-keywords. Font-independent character models are created using hidden Markov models (HMMS) and arbitrary keyword models are built from the character HMM components. Word or text line bounding boxes are extracted from the image, a set of features based on the word shape, (and preferably also the word internal structure) within each bounding box is extracted, this set of features is applied to a network that includes one or more keyword HMMs, and a determination is made. The identification of word bounding boxes for potential keywords includes the steps of reducing the image (say by 2.times.) and subjecting the reduced image to vertical and horizontal morphological closing operations. The bounding boxes of connected components in the resulting image are then used to hypothesize word or text line bounding boxes, and the original bitmaps within the boxes are used to hypothesize words. In a particular embodiment, a range of structuring elements is used for the closing operations to accommodate the variation of inter- and intra-character spacing with font and font size.

REFERENCES:
patent: 4155072 (1979-05-01), Kawa
patent: 4754489 (1988-06-01), Bokser
patent: 5048109 (1991-09-01), Bloomberg et al.
patent: 5065437 (1991-11-01), Bloomberg
patent: 5081690 (1992-01-01), Tan
patent: 5151951 (1992-09-01), Ueda et al.
patent: 5199077 (1993-03-01), Wilcox et al.
patent: 5201011 (1993-04-01), Bloomberg et al.
patent: 5237627 (1993-08-01), Johnson et al.
patent: 5321770 (1994-06-01), Huttenlocher
patent: 5325444 (1994-06-01), Cass et al.
patent: 5438630 (1995-08-01), Chen et al.
Computer Vision, Graphics and Image Processing, vol. 35, 1986, pp. 111-127, T. Pavlidis "A vectorizer and feature extractor for document recognition" p. 112, line 9-14; Figure 1.
ICASSP-92 IEEE Int. Conf. on Acoustics, Speech and Signal Processing, vol. 2, 23 Mar. 1992, San Francisco, CA, pp. 97-100, XP356946, L.D. Wilcox et M A Bush "Training and search algorithms for an interactive wordspotting system"; Figure 1.
IBM Journal of Research and Development, vol. 26, No. 6, Nov. 1982, New York, NY, pp. 681-686, N.F. Brickman, "Word AutoCorrelation redundancy match (WARM) technology" Section 2. System overview; Figure 2.
IEEE Trans. on Acoustics, Speech and Signal Processing, vol. 38, No. 11, Nov. 1990, pp. 1870-1878, J. G. Wilpon, et al., "Automatic recognition of keywords in uncontrained speech using hidden markov models", p. 1871, right column, line 18 -- line 46; Figure 3.
Systems & Computers in Japan, vol. 21, No. 4, 1990, New York, NY, pp. 26-35, XP159200, T. Nakano, et al., "A new recognition method for stamped and painted alphanumerals" Section 2.1 Principle; Figures 3-7.
Dan S. Bloomberg, "Multiresolution Morphological Approach to Document Image Analysis", Proceedings of the Int. Conf. on Document Analysis and Recognition, Saint-Malo, France, Sep. 1991, pp. 963-971.
Simon Kahan et al.,"On the Recognition of Printed Characters of Any Font and Size", IEEE Transations on Pattern Analysis and Machine Intelligence, vol. PAMI-9, No. 2, Mar. 1987, pp. 274-288.
Chinmoy B. Bose et al., Connected and Degraded Text Recognition Using Hidden Markov Model, Proceedings of the Int. Conf. on Pattern Recognition, Netherlands, Sep. 1992, pp. 116-119.
Tin Kam Ho et al., "A Word Shape Analysis Approach to Recognition of Degraded Word Images", Proceedings of the USPS Advanced Technology Conference, Nov. 1990, pp. 217-231.
Yang He et al., "Handwritten Word Recognition Using HMM with Adaptive Length Viterbi Algorithm", Proceedings of the Int. Conf. on Acoustics, Speech and Signal Processing, San Francisco, California, Mar. 1992, vol. 3, pp. 153-156.
Douglas B. Paul et al., "Speaker Stress-Resistant Continuous Speech Recognition", Proceedings of the Int. Conf. on Acoustics, Speech and Signal Processing, 1988, pp. 283-286.
Lawrence R. Rabiner, A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition, Proceedings of the IEEE, vol. 77, No. 2, Feb. 1989, pp. 257-285.
Lawrence R. Rabiner et al., "An Introduction to Hidden Markov Model", IEEE ASSP Magazine, Jan. 1986, pp. 4-16.

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