Results 141 to 150 of about 2,546 (227)

Assessing advanced handwritten text recognition engines for digitizing historical documents. [PDF]

Int J Digit Humanit
Romein CA, Rabus A, Leifert G, Ströbel PB.   +3 more
europepmc   +1 more source

Enhancing Hindi OCR robustness with CRNN-ResNet50: a data augmentation approach on the devanagari dataset. [PDF]

Sci Rep
Kumar S, Sourabh S, Pati J, Kumar S.
europepmc   +1 more source

A potion for prolonged life? Germes' recipe, a secret handwritten note from an 18th-century Swedish physician. [PDF]

J Ethnobiol Ethnomed
Schultz F, Niedenthal T, Nicolai-Lorenz I, Baez K, Iker T, Garbe LA.   +5 more
europepmc   +1 more source

The dataset for extending EMNIST evaluation. [PDF]

Sci Data
Szymański J, Skarżyński K, Szutenberg B, Ratkowska K, Drywa S.   +4 more
europepmc   +1 more source

Dataset for Single Character Detection in Dongba Manuscripts. [PDF]

Sci Data
Ma Y, Li Y, Long G, Li R, Hu F, Xu C, Wang Y, Peng M, Li X, Chen S.   +9 more
europepmc   +1 more source

Printed document layout analysis and optical character recognition system based on deep learning. [PDF]

Sci Rep
Li DL, Lee SK, Liu YT.
europepmc   +1 more source

Multi-script handwritten character recognition

, 2016
Handwritten character recognition plays an important role in transforming raw visual image data obtained from handwritten documents using for example scanners to a format which is understandable by a computer. It is an important application in the field of pattern recognition, machine learning and artificial intelligence.
openaire   +1 more source

Hybrid model for classifying Indo Aryan and Tamil texts from historic manuscripts. [PDF]

Sci Rep
Dinesh PM, Gopal D, Vignesh S, Sheeba Rani S.   +3 more
europepmc   +1 more source

Unlocking biodiversity data with robotic imaging and AI-driven transcription of natural history collections. [PDF]

Sci Adv
Johnson CA, Willigan EM, Hwang EY, Austin PM, Chang KL, Daly P, Davis A, Gonzalez JM, Kao CN, Mifsud IEJ, Miller KA, Nicolescu M, Ruiz AM, Ruo EY, Schwartzman JL, Seeman AB, Stenzel J, Zurita NC, Berniker LF, Rodríguez E.   +19 more
europepmc   +1 more source

A hybrid machine learning framework for offline signature verification using gray wolf optimization. [PDF]

Sci Rep
Rathore NC, Juneja A, Kumar N, Kumar V, Dhaka A.   +4 more
europepmc   +1 more source