Novel algorithm and its realization of optical character recognition based on statistical entropy power

doi:10.3778/j.issn.1002-8331.2009.01.060

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (1): 195-197.DOI: 10.3778/j.issn.1002-8331.2009.01.060

• 图形、图像、模式识别 • Previous Articles Next Articles

Novel algorithm and its realization of optical character recognition based on statistical entropy power

WU Yong-liang,WAN Wang-gen,QIAN Feng,XU Hong-wei

School of Communication and Information Engineering，Shanghai University，Shanghai 200072，China

Received:2007-12-26 Revised:2008-03-26 Online:2009-01-01 Published:2009-01-01
Contact: WU Yong-liang

新的基于统计熵功率的OCR算法及其DMCU实现

吴永亮,万旺根,钱锋,徐鸿玮

上海大学通信与信息工程学院，上海 200072

通讯作者: 吴永亮

Abstract

Abstract: The problem for applying OCR through a common camera is the wobble of the received image data.For the purpose of accurate recognition of Chinese characters，a new algorithm based on the statistical entropy power is proposed in this paper，which transforms the received image data into a set of random signal in order to process.Experimental results have shown that the algorithm has low computation complexity and high recognition rate，making it suitable for low-cost embedded system implementation，and a recognition rate of above 94% has been achieved on the 24 MHZ 16 bit DMCU embedded system which is produced by Taiwan of China chip manufacturer KingBillion.

Key words: statistical, entropy power, Optical Character Recognition（OCR）

摘要： 使用摄像头进行文字识别最大的问题在于图像抖动。为了有效地消除图像抖动并正确实现文字识别，提出了一种基于统计熵功率的新的识别算法。这种方法将采集到的数据作为随机信号处理。实验证明，此算法计算复杂度低，识别率高，适用于低成本嵌入式系统，在中国台湾俊亿公司24 MHZ 16位DMCU嵌入式系统上，获得了94％以上的正确识别率。

关键词: 统计, 熵功率, 文字识别

WU Yong-liang,WAN Wang-gen,QIAN Feng,XU Hong-wei. Novel algorithm and its realization of optical character recognition based on statistical entropy power[J]. Computer Engineering and Applications, 2009, 45(1): 195-197.

吴永亮,万旺根,钱锋,徐鸿玮. 新的基于统计熵功率的OCR算法及其DMCU实现[J]. 计算机工程与应用, 2009, 45(1): 195-197.

[1]	LI Shouyu, HE Qing, DU Nisuo. Piecewise Weight and Mutation Opposition-Based Learning Butterfly Optimization Algorithm [J]. Computer Engineering and Applications, 2021, 57(22): 92-101.
[2]	SONG Lili, LI Bin, ZHAO Junya, LIU Guofeng. Normality Resampling of Improved Metric Learning Method for Person Re-Identification [J]. Computer Engineering and Applications, 2020, 56(8): 158-165.
[3]	LU Yuanyuan, FENG Hao, LI Jing. Active Contour Image Segmentation Combined with Statistical Modeling of Distribution Metrics [J]. Computer Engineering and Applications, 2020, 56(7): 228-233.
[4]	YI Junyan, WU Boya, YONG Qiaoling. Research on Clustering Algorithm of Elastic Net with Weighted Characteristics [J]. Computer Engineering and Applications, 2020, 56(22): 55-65.
[5]	CHU Hanting1, XING Xing1，2, MENG Zhixin1, JIA Zhichun1. Analysis for National Natural Science Foundation of China Funded Projects on Recommender System Research Area [J]. Computer Engineering and Applications, 2019, 55(9): 259-263.
[6]	YANG Minghui, ZOU Xiang. Evaluation of US Electronic Identity Guide [J]. Computer Engineering and Applications, 2019, 55(23): 22-28.
[7]	LIU Xintong1, MA Xiaoping2, LIU Libo1. Thyroid Nodule Detection Method Based on Median Filter and Residual Network [J]. Computer Engineering and Applications, 2019, 55(13): 254-259.
[8]	MA Bo1, ZHAO Yi1, QI Liangcai2. Application of Variational Auto-Encoder in Mechanical Fault Early Warning [J]. Computer Engineering and Applications, 2019, 55(12): 245-249.
[9]	MUHETAER Palidan, SILAMU Wushouer, Maimaitayifu, YOULUWASI Nuermaimaiti. Application of RNN encoder-decoder in Uyghur-Chinese machine translation [J]. Computer Engineering and Applications, 2018, 54(15): 235-240.
[10]	ZHANG Zhuoran, YE Guangqiang, ZHAO Xiaolin. Adaptive algorithm based on modified current statistical model for passive tracking [J]. Computer Engineering and Applications, 2017, 53(3): 124-130.
[11]	HU Huihui, LIU Jiandong, SHANG Kai, ZHANG Xiao. Design and analysis of pseudo-random sequence generator based on spatiotemporal chaos [J]. Computer Engineering and Applications, 2017, 53(24): 100-105.
[12]	YU Min, YU Fengqin, CHEN Ying. Image segmentation based on super-pixel similarity and statistical [J]. Computer Engineering and Applications, 2017, 53(2): 177-180.
[13]	CHENG Zhihui1，2, HUANG Yu1，2. H-infinity filtering tracking method using Cauchy decomposition [J]. Computer Engineering and Applications, 2017, 53(17): 41-46.
[14]	JIANG Yuquan, SHI Jing, SHI Dongchen. Statistical active contour model based on EMD and global-local strategy [J]. Computer Engineering and Applications, 2017, 53(15): 1-6.
[15]	LUO Sanding, PENG Qiong, LI Ting. Research on texture feature classification of ceramic tile images [J]. Computer Engineering and Applications, 2016, 52(8): 196-200.

Novel algorithm and its realization of optical character recognition based on statistical entropy power

新的基于统计熵功率的OCR算法及其DMCU实现

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics