New spatial-organization-based scale and rotation invariant features for heterogeneous-content camera-based document image retrieval.
Pattern Recognition Letters(2018)
摘要
•We have extended our earlier proposed feature descriptor named Scale and Rotation Invariant Features (SRIF).•SRIF is capable of extracting and encoding discriminatory information from heterogeneous-content in document images.•SRIF is computed based on geometrical constraints between pairs of nearest points around a keypoint.•SRIF has built-in capability to robustly deal with feature point extraction errors.•SRIF outperforms the state-of-the-art in terms of processing time with an equal or greater Recall and Precision.
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关键词
Document capture,Feature extraction,Feature descriptor,Feature evaluation,Feature selection,Document indexing,Information search and retrieval,Camera-based document analysis and recognition,Document image retrieval,Query by example,Pattern recognition
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