Ancestry.com Operations Inc.

Raunak Dey

Yen-Yun Yu

Masaki Stanley Fujimoto

Gopalkrishna Balkrishna Veni

Jinsol Lee

A simplified handwriting recognition approach includes a first network comprising convolutional neural network comprising one or more convolutional layers and one or more max-pooling layers. The first network receives an input image of handwriting and outputs an embedding based thereon. A second network comprises a network of cascaded convolutional layers including one or more subnetworks configured to receive an embedding of a handwriting image and output one or more character predictions. The subnetworks are configured to downsample and flatten the embedding to a feature map and then a vector before passing the vector to a dense neural network for character prediction. Certain subnetworks are configured to concatenate an input embedding with an upsampled version of the feature map.

Growing community of inventors

Lehi, UT, United States of America

Raunak Dey