| 1. | A multi - font huge - set character recognition system
一种多字体特大字符集字符识别系统 |
| 2. | Finally , we give some prospect of the ocr ' s development in the future
并对版面分析及整个字符识别系统的未来进行预测与展望。 |
| 3. | One of the keys to implement the adaptive character recognition system is to extract right features adaptively
自动选择合适的特征和特征提取方法是实现自适应字符识别系统的关键之一。 |
| 4. | The methods of analyze and recognition in this article has a certain reference for improve of the character recognition system
本文的车牌分析和识别方法对字符识别系统的实用型改进具有一定的参考价值。 |
| 5. | Preprocessing and feature extraction are important stages in character recognition system , related closely with the classifier precision
预处理和特征抽取是字符识别系统的重要阶段，与识别器精度密切相关。 |
| 6. | We developed an adaptive character recognition system which can select optimal recognition schemes according to the target character - set
为了解决多个字符集识别器的设计问题，我们提出井实现了一个能自动根据所要识别的字符集选择最优识别方案的自适应字符识别系统。 |
| 7. | 6 in chapter six , we implement and analyze an optical character recognition system . this system uses features based on statistic moments to recognize uppercase and lowercase english characters
6 、实现并分析了一个光字符识别系统，该字符识别系统用基于统计矩的特征来识别大小写英文字母。 |
| 8. | To solve the problem of huge storage occupation for usps handwritten numerals sample library , a method for accessing handwritten character sample image information based on bit map coding is presented in the pager
摘要针对usps手写数字样本数据库存储空间大，在开发实际手写数字字符识别系统时不能直接生成二值化图像的缺点，提出一种基于位映象编码的二进制存取方法，建立的手写样本数据库可以快速恢复为相应的二值化字符图像。 |
| 9. | In this paper , we extract the llf ( local line fitting ) , cpt ( central project transform ) and chain code features of characters , and then combine them with the statistical and structural information of characters for character recognition
本文在手写体字符特征提取方法研究中，通过对手写体字符的研究，提取了字符的llf 、中心投影、链码等特征，并将这些特征与传统的字符统计特征和结构特征相结合应用于手写体字符识别系统。 |
