New spatial-organization-based scale and rotation invariant features for heterogeneous-content camera-based document image retrieval.

Pattern Recognition Letters(2018)

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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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