Optical recognition of handwritten Chinese characters: Advances since 1980

Recognition of handprinted Chinese characters by constrained graph matching

The authors (1991) previously proposed a revised version of a holographic memory model based on adaptive feature detection with an attention shift switch. To implement it in a Chinese character recognition system, a fast-converging Hamming net with two memory layers is proposed corresponding to two shiftable stages of feature extraction in the Chinese recognition system. The attention shift process is realized automatically. The system was used to learn 50 Chinese characters. With a recognition test on a set of 30 samples for each character, a recognition rate of about 85% and a recognition speed of about 3.3 words per second were achieved. >

A fast-converging Hamming net used in an offline Chinese character recognition system

It is of great important to fulfill digitalization and text. Based on the stroke density feature approach and image feature one, the paper illustrated the recognition process of photocopies of Tangut historical documents. The experiments show that these approaches are effective by achieving accuracy as well as saving time. The recognition results are satisfactory.

On Tangut characters recognition based on stroke density and direct image features

A novel algorithm based on holographic memory and adaptive feature detection is proposed for pattern recognition. The memory is organized through unsupervised learning. In this model once the training patterns are all fed to the network, the memory will be stable although it may be modified in some cases. Since the adaptive feedback interferes directly only with the feature mapping, the memory system will avoid the risk of being trapped in an unstable state. As a simulation the authors constructed a handwritten Chinese character recognition system with this model. >

http://ieeexplore.ieee.org/iel2/602/4411/00170570.pdf

Da Deng

Papers

A fast-converging Hamming net used in an offline Chinese character recognition system

A character recognition system based upon adaptive feature-detecting and a new model of holographic memory