Image Enhancement Of Handwritten Drawings And Their Recognition Followed By Interactive Processing

Masashi Okudaira; Naonori Ueda; Tsuyoshi Aoki

doi:10.1117/12.937247

20 November 1986 Image Enhancement Of Handwritten Drawings And Their Recognition Followed By Interactive Processing

Masashi Okudaira, Naonori Ueda, Tsuyoshi Aoki

Proceedings Volume 0707, Visual Communications and Image Processing; (1986) https://doi.org/10.1117/12.937247
Event: Cambridge Symposium-Fiber/LASE '86, 1986, Cambridge, MA, United States

Abstract

An algorithm for preprocessing scanner input data is proposed to achieve high quality bilevelization by locally adaptive pixel density enhancement. Symbol recognition based on Segment Pair Matching (SPM) and interactive processing for creating a drawing database are also discussed. The SPM can detect symbols of different sizes simultaneously and their interior patterns are recognized by using distance transformation. Further, a structure model of a drawing is presented. Finally, there is a discussion of how the elements of each model category can be interactively processed by superimposing recognized data on the enhanced image data on a CRT screen.

Citation Download Citation

Masashi Okudaira, Naonori Ueda, and Tsuyoshi Aoki "Image Enhancement Of Handwritten Drawings And Their Recognition Followed By Interactive Processing", Proc. SPIE 0707, Visual Communications and Image Processing, (20 November 1986); https://doi.org/10.1117/12.937247

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