MQDF Discriminative Learning Based Offline Handwritten Chinese Character Recognition

The development of a discriminative learning framework based on importance sampling for large-scale classification tasks is reported in this paper. The framework involves the assignment of samples with different weights according to the sample ...

Despite the facts that Chinese characters are composed of radicals and Chinese usually formulate their knowledge of Chinese characters as a combination of radicals, very few studies have focused on a character decomposition approach to recognition, i.e.,...

• A radical aggregation network for radical-level Chinese character recognition.
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Overall architecture of our radical aggregation network (RAN). The RAN consists of three components, a radical mapping encoder (RME), a radical aggregation module (RAM), and a character analysis decoder (CAD). The RME module ...

Offline handwritten Chinese character recognition has attracted much interest due to its various applications. The most cutting-edge methods treat Chinese character as a whole, ignoring the structures and radicals that compose ...