Learning-based word segmentation for reliable text document retrieval and augmentation
Author:
Affiliation:
1. Pukyong National University, Busan, South Korea
Funder
Ministry of Education
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3281505.3281585
Reference4 articles.
1. Tomohiro Nakai Koichi Kise and Masakazu Iwamura. 2006. Use of Affine Invariants in Locally Likely Arrangement Hashing for Camera-Based Document Image Retrieval. In Document Analysis Systems VII Horst Bunke and A. Lawrence Spitz (Eds.). Springer Berlin Heidelberg Berlin Heidelberg 541--552. 10.1007/11669487_48 Tomohiro Nakai Koichi Kise and Masakazu Iwamura. 2006. Use of Affine Invariants in Locally Likely Arrangement Hashing for Camera-Based Document Image Retrieval. In Document Analysis Systems VII Horst Bunke and A. Lawrence Spitz (Eds.). Springer Berlin Heidelberg Berlin Heidelberg 541--552. 10.1007/11669487_48
2. stAR
3. Real-Time Document Image Retrieval for a 10 Million Pages Database with a Memory Efficient and Stability Improved LLAH
4. Augmenting text document by on-line learning of local arrangement of keypoints
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