Items where Author is "Punitha, P."

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Number of items: 9.

Article

Punitha, P. and Guru, D. S. (2008) Symbolic image indexing and retrieval by spatial similarity: An approach based on B-tree. PATTERN RECOGNITION, 41 (6). pp. 2068-2085.

Punitha, P. and Guru, D. S. (2006) An effective and efficient exact match retrieval scheme for symbolic image database systems based on spatial reasoning: A logarithmic search time approach. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 18 (10). pp. 1368-1381.

Punitha, P. and Guru, D. S. (2005) An invariant scheme for exact match retrieval of symbolic images: Triangular spatial relationship based approach. PATTERN RECOGNITION LETTERS, 26 (7). pp. 893-907.

Punitha, P. and Guru, D. S. and Vikram, T. N. (2005) Relative Spatial Distance Matrix: a Novel and Invariant Data Structure for Representation and Retrieval of Exact Match Symbolic Images. In proceedings of International Conference on Cognition and Recognition.

Guru, D. S. and Punitha, P. (2004) An invariant scheme for exact match retrieval of symbolic images based upon principal component analysis. PATTERN RECOGNITION LETTERS, 25 (1). pp. 73-86.

Guru, D. S. and Punitha, P. and Nagabhushan, P. (2003) Archival and retrieval of symbolic images: An invariant scheme based on triangular spatial relationship. PATTERN RECOGNITION LETTERS, 24 (14). pp. 2397-2408.

Conference or Workshop Item

Punitha, P. and Onkarappa, Naveen and Guru, D. S. (2007) Indexing of Document Images Based on Triangular Spatial Relationships. In: International Conference on Computing: Theory and Applications, 5-7 March 2007 , Kolkata.

Ashkan, M. Y. and Guru, D. S. and Punitha, P. (2006) Skew Estimation in Persian Documents: A Novel Approach. In: Computer Graphics, Imaging and Vision, 26-28 July 2006 , Sydney.

Guru, D. S. and Punitha, P. and Mahesh, S. (2004) Skew Estimation in Digitised Documents: A Novel Approach. In: International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06).

This list was generated on Mon Nov 20 12:42:33 2017 IST.