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  2. MNIST database - Wikipedia

    en.wikipedia.org/wiki/MNIST_database

    Extended MNIST (EMNIST) is a newer dataset developed and released by NIST to be the (final) successor to MNIST. [ 15 ] [ 16 ] MNIST included images only of handwritten digits. EMNIST includes all the images from NIST Special Database 19 (SD 19), which is a large database of 814,255 handwritten uppercase and lower case letters and digits.

  3. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    MNIST: Database of grayscale handwritten digits. 60,000 image, label classification 1994 [1] LeCun et al. Extended MNIST: Database of grayscale handwritten digits and letters. 810,000 image, label classification 2010 [2] NIST 80 Million Tiny Images: 80 million 32×32 images labelled with 75,062 non-abstract nouns. 80,000,000 image, label 2008 [3]

  4. Timeline of optical character recognition - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_optical...

    The MNIST database is created to train machine learning models in pattern recognition. [27] 2015 Application Open access Google offers OCR tools to scan any Google Drive files in over 200 languages for free. [6]

  5. Optical character recognition - Wikipedia

    en.wikipedia.org/wiki/Optical_character_recognition

    Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner. Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo (for example the text on signs and ...

  6. LeNet - Wikipedia

    en.wikipedia.org/wiki/LeNet

    Recognizing simple digit images is the most classic application of LeNet as it was created because of that. Yann LeCun et al. created LeNet-1 in 1989. The paper Backpropagation Applied to Handwritten Zip Code Recognition [4] demonstrates how such constraints can be integrated into a backpropagation network through the architecture of the ...

  7. Convolutional neural network - Wikipedia

    en.wikipedia.org/wiki/Convolutional_neural_network

    A convolutional neural network (CNN) is a regularized type of feedforward neural network that learns features by itself via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different types of data including text, images and audio. [1]

  8. Comparison of optical character recognition software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_optical...

    ABBYY also supplies SDKs for embedded and mobile devices. Professional, Corporate and Site License Editions for Windows, Express Edition for Mac. [3] AIDA: 2016 13.0 2024 Proprietary: Yes Yes Yes Yes Yes Yes Yes No All languages using Latin alphabet Machine and handprinted text, Latin alphabet DOCX, XLSX, PPTX, TXT, CSV, PDF, JSON, XML

  9. Handwriting recognition - Wikipedia

    en.wikipedia.org/wiki/Handwriting_recognition

    Signature of country star Tex Williams. Handwriting recognition (HWR), also known as handwritten text recognition (HTR), is the ability of a computer to receive and interpret intelligible handwritten input from sources such as paper documents, photographs, touch-screens and other devices.