Name
Abstract | ||
|---|---|---|
In this article, a method for segmentation-based learning-free Query by Example (QbE) keyword spotting on handwritten documents is proposed. The method consists of three steps, namely preprocessing, feature extraction and matching, which address critical variations of text images (e.g., skew, translation, different writing styles). During the feature extraction step, a sequence of descriptors is g... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TPAMI.2018.2845880 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | Field | DocType |
Image segmentation,Feature extraction,Training,Hidden Markov models,Writing,Euclidean distance,Task analysis | Normalization (statistics),Pattern recognition,Segmentation,Computer science,Image segmentation,Keyword spotting,Feature extraction,Preprocessor,Query by Example,Artificial intelligence,Blossom algorithm | Journal |
Volume | Issue | ISSN |
41 | 7 | 0162-8828 |
Citations | PageRank | References |
2 | 0.40 | 15 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| George Retsinas | 1 | 8 | 3.91 |
| Georgios Louloudis | 2 | 81 | 9.54 |
| N. Stamatopoulos | 3 | 124 | 8.05 |
| Basilios Gatos | 4 | 193 | 17.36 |