Table 2 Usage of databases
From: A comprehensive survey of handwritten document benchmarks: structure, usage and evaluation
Task | Databases |
|---|---|
Offline handwriting recognition | IAM, IAM-HistDB, RIMES, CEDAR, CVL, IFN-ENIT, AHDB, ARABASE, CENPARMI-Arabic, Al-Isra, LMCA, KHATT, QUWI, IAUT-PHCN, IFN-Farsi, CENPARMI-Farsi, HaFt, CENPARMI-Urdu, PE92, HCL2000, CASIA, KHTD, AMHCD, GRUHD, MRG-OHTC |
Online handwriting recognition | IAM-onDB, IRONOFF, IBM-UB, ADAB, ARABASE, LMCA, SCUT-COUCH,CASIA |
Digit Recognition | NIST, MNIST, CEDAR, CVL, CENPARMI-Arabic, IFN-Farsi, CENPARMI-Farsi |
Offline writer identification/verification | IAM, RIMES, CVL, FireMaker, IFN/ENIT, AHDB, Al-Isra, KHATT, QUWI, AHTID/MW, FHT, HaFT, HCL2000 |
Online writer identification/verification | IAM-onDB, IRONOFF, IBM-UB, ADAB |
Word spotting | IAM, IAM-onDo, IAM-HistDB, CENPARMI-Arabic, CENPARMI-Urdu,CASIA |
Handwriting segmentation | IAM, IAM-HistDB, CEDAR, AHTID-MW, FHT, HaFT,KHTD |
Gender classification | IAM-onDB, QUWI, HCL2000 |