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dc.rights.licenseAll rights reserveden_US
dc.contributor.advisorTeixeira, Marvi
dc.contributor.authorBeltran Feliciano, Eduardo J.
dc.date.accessioned2021-08-17T00:10:56Z
dc.date.available2021-08-17T00:10:56Z
dc.date.issued2021
dc.identifier.citationBeltran Feliciano, E. J. (2021). Streak2O: Data Augmentation for Handwritten Text Recognition in Neural Networks [Unpublished manuscript]. Graduate School, Polytechnic University of Puerto Rico.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12475/1128
dc.descriptionDesign Project Article for the Graduate Programs at Polytechnic University of Puerto Ricoen_US
dc.description.abstractStreak2O is a machine learning data augmentation algorithm based on the combination of two other independent algorithms: Streak and Droplet. These three augmentations are implemented as non-trainable TensorFlow custom Keras layers to optimize execution time in a GPU based environment. They generate configurable random artifacts that imitate real life handwritten historical document or manuscript water damage and document mishandling. Testing this augmentation algorithm with small subsets of the NIST-SD19 dataset on a convolutional neural network architecture shows that they can help reduce neural network overfitting falling partially into the category of synthetic data generation. Key Terms ⎯ Handwritten Text Recognition, Machine Learning, Synthetic Data Augmentation, TensorFlow.en_US
dc.language.isoen_USen_US
dc.publisherPolytechnic University of Puerto Ricoen_US
dc.relation.ispartofComputer Engineering Program;
dc.relation.ispartofseriesSpring-2021;
dc.relation.haspartSan Juanen_US
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Researchen_US
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Postersen_US
dc.subject.lcshWriting--Identificationen_US
dc.subject.lcshNeural networks (Computer science)
dc.titleStreak2O: Data Augmentation for Handwritten Text Recognition in Neural Networksen_US
dc.typeArticleen_US
dc.rights.holderPolytechnic University of Puerto Rico, Graduate Schoolen_US


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