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What is Handwriting Recognition with IAM Database about?

Handwritten text recognition is challenging due to variation in individual writing styles. The presented approach uses a convolutional neural network (CNN) to extract features from input images, followed by a recurrent neural network (RNN) to recognize sequences of characters. The CNN uses filters and max pooling across 5x5 and 3x3 kernels, followed by a 256-unit LSTM RNN and CTC loss. CTC loss handles variable-length input/output and character repetitions. The model was trained end-to-end using gradient de

Author

The Phong

Language

EN