Su Liang

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VLDB 2026 Research / reviewers in the wild / expert

dblp:89/6918 · DBLP profile ↗

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6ranked-venue papers

6as first author

0since 2021 · last 1997

—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 3 first-authorGraphics, computer vision, multimedia, augmented reality and games · 3 · 3 first-authorDatabases, data management, data science and information retrieval · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia

1 paper

Image and video processing · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Image and video processing document image analysis	0.0	1	1997	Segmentation of handwritten interference marks using multiple directional stroke planes and reformalized morphological approach · IEEE Trans. Image Process. 1997
Image and video processing › mathematical morphology morphological image processing	0.0	1	1997	Segmentation of handwritten interference marks using multiple directional stroke planes and reformalized morphological approach · IEEE Trans. Image Process. 1997

Methods — techniques the papers use, named apart from their topics

skeletonization · 0.0multiple directional stroke planes · 0.0morphological operations · 0.0

Year	Publication	Venue	Position
1997	Segmentation of handwritten interference marks using multiple directional stroke planes and reformalized morphological approach abstract A new algorithm for the extraction of words from printed documents that have interference marks and other strokes, cutting across text, is presented. Morphological operations based on multiple direction projection planes and skeleton images are adopted here to prevent the "flooding water" effect of conventional morphological operations. Test results indicate the feasibility of the proposed approach. Su Liang, Majid Ahmadi, Malayappan Shridhar	IEEE Trans. Image Process.	1
1995	Segmentation of interference marks using morphological approach abstract This paper deals with the extraction of words from printed documents that have interference and other strokes (enclosing curves, underlines etc.). A new algorithm which combines the two processes of thinning and detection of directional strokes to effectively segment not only straight lines but also smooth arbitrarily oriented curves. The algorithms preserve both connectivity and directional characteristics. The morphological operations based on multiple direction projection planes and skeleton images are adopted here to successfully prevent the "flooding water" effect of conventional morphological operations. The effectiveness of the proposed algorithms is demonstrated on several experimental images. Su Liang, Majid Ahmadi, Malayappan Shridhar	ICDAR	1
1994	A Morphological Approach to Text String Extraction from Regular Periodic Overlapping Text/Background Images abstract A digitized image that consists of text strings and uniformly distributed background symbols must be segmented if the characters in the text string are to be recognized. This paper describes the development and implementation of morphological approach to character string extraction from regular periodic overlapping text/background images that minimizes the shape distortion of characters. The effectiveness of this algorithm is demonstrated on several test images.> Su Liang, Majid Ahmadi, Malayappan Shridhar	ICIP (1)	1
1994	A Morphological Approach to Text String Extraction from Regular Periodic Overlapping Text/Background Images Su Liang, Majid Ahmadi, Malayappan Shridhar	CVGIP Graph. Model. Image Process.	1
1994	Segmentation of touching characters in printed document recognition Su Liang, Malayappan Shridhar, Majid Ahmadi	Pattern Recognit.	1
1993	Segmentation of touching characters in printed document recognition abstract A new discrimination function for segmenting touching characters based on both pixel projection and profile projection is presented. A dynamic recursive segmentation algorithm is developed for effectively segmenting touching characters. Contextual information and a spelling checker are used to correct errors caused by incorrect recognition and segmentation. The 99.85% top recognition accuracy has been achieved, while the minimum accuracy is 99.4% based on 12 real documents.> Su Liang, Majid Ahmadi, Malayappan Shridhar	ICDAR	1