EMNIST

doi:doi:10.57702/aodokk12

EMNIST

Binary images are simple — two possible pixel-valued signals with a single channel. The simplicity of binary images has a significant advantage compared to colored and gray scaled images, namely computation efficiency. Moreover, most optical character recognition systems (OCRs), such as handwritten character recognition, plate number identification, and bank check recognition systems, use binary images or binarization in their processing steps.

BibTex:

@dataset{Shichen_(Justin)_Qiao_and_Haining_Qiu_and_Lingkai_(Harry)_Zhao_and_Qikun_Liu_and_Eric_J_Hoffman_2024,
    abstract = {Binary images are simple — two possible pixel-valued signals with a single channel. The simplicity of binary images has a significant advantage compared to colored and gray scaled images, namely computation efficiency. Moreover, most optical character recognition systems (OCRs), such as handwritten character recognition, plate number identification, and bank check recognition systems, use binary images or binarization in their processing steps.},
    author = {Shichen (Justin) Qiao and Haining Qiu and Lingkai (Harry) Zhao and Qikun Liu and Eric J. Hoffman},
    doi = {10.57702/aodokk12},
    institution = {No Organization},
    keyword = {'62 Categories', 'Character Recognition', 'Characters', 'Deep Learning', 'Digits', 'EMNIST', 'EMNIST dataset', 'Handwritten Characters', 'Handwritten Digit Recognition', 'Handwritten Recognition', 'Handwritten Text Recognition', 'Image Classification', 'Image Recognition', 'digit recognition', 'handwritten letter recognition', 'handwritten letters', 'handwritten numbers', 'letter recognition', 'multiclass classification', 'optical character recognition'},
    month = {dec},
    publisher = {TIB},
    title = {EMNIST},
    url = {https://service.tib.eu/ldmservice/dataset/emnist},
    year = {2024}
}