Handprinted Character Recognition Based on Spatial Topology Distance Measurement
IEEE Transactions on Pattern Analysis and Machine Intelligence
Self-organizing maps
The indexing and retrieval of document images: a survey
Computer Vision and Image Understanding - Special issue on document image understanding and retrieval
Indexing pictorial documents by their content: a survey of current techniques
Image and Vision Computing
Effective image retrieval for the m-learning system
ICADL'06 Proceedings of the 9th international conference on Asian Digital Libraries: achievements, Challenges and Opportunities
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Shaped-based image retrieval is achieved by measuring the spatial topology distance between the input image and each template image in the database. The contour of an object in the input image is regularly sampled as feature points which are matched to those of a template image by a pseudo elastic matching process. The elastic matching is achieved by performing the self-organizing map algorithm on the network which is constructed by distributing neurons to feature locations of the template image. The spatial topology distance is measured by the degree of distortion of the template pattern before and after elastic matching. We tested the method on the Columbia Object Image Library database. Preliminary experiments suggested promising result by our approach.