Segmentation of handwritten interference marks using multiple directional stroke planes and reformalized morphological approach

IEEE Transactions on Image Processing

Volumn 6, Issue 8, 1997, Pages 1195-1202

  Liang, Su ^a   Ahmadi, M ^a   Shridhar, M ^b  

^a UNIVERSITY OF WINDSOR   (Canada)

^b Department of Electrical and Computer Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; FEATURE EXTRACTION; IMAGE ANALYSIS; MATHEMATICAL MORPHOLOGY;

MULTIPLE DIRECTIONAL STROKE PLANES;

IMAGE SEGMENTATION;

EID: 0031210017     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/83.605418     Document Type: Article

References (5)

1. S. Liang, M. Ahmadi, and M. Shridhar, "Morphological approach for text string extraction from regular overlapping text/background images," CVGIP: Graphical Models and Image Processing, vol. 56, no. 3, Sept. 1994.
2. V. Govindaraju and S. N. Shrihari, "Separating handwritten text from interfering strokes," in From Pixels and Features in Handwritten Recognition. New York: Elsevier, 1992, pp. 17-28.
3. H. Yamada, K. Yamamoto, and K. Hosokawa, "Directional mathematical morphology and reformalized Hough transformation for the analysis of topographic maps," IEEE Trans. Pattern Anal. Machine Intell., vol. 15, pp. 380-387, Apr. 1993.
4. D. Guillevic and C. Y. Suen, "Cursive script recognition: A fast reader scheme," in Proc. Second Int. Conf. Document Analysis and Recognition, Tsukuba, Japan, Oct. 1993, pp. 311-314.
5. Y. S. Chen and W. H. Hsu, "An interpretive model of line continuation in human visual perception," Pattern Recognit., vol. 22, pp. 619-639, 1989.