CAJ | 학술논문

复杂图像文字识别是基于内容图像检索的一个重要研究方向.针对图像中的文字可能存在倾斜、光照不均、噪音干扰和边缘柔化等多种异态问题,提出一种有效的异态汉字识别方法,称作SC-HOG.首先,利用稀疏编码得到基向量和稀疏系数,通过重构图像滤除噪音、处理边缘柔化；然后,利用梯度方向直方图抽取复原图像的汉字边缘梯度特征,削弱倾斜和光照的影响；最后,将获取的特征向量送入分类器,实现异态汉字的识别.通过合成数据集和真实数据集两方面的实验来验证SC-HOG方法的有效性：前一方面实验结果表明,SC-HOG方法对于倾斜、光照不均、噪音干扰和边缘柔化等异态情况有较强的鲁棒性；后一方面实验结果表明,SC-HOG 方法在原生数字图像和场景图像真实样本集上也能取得较好的结果.
복잡도상문자식별시기우내용도상검색적일개중요연구방향.침대도상중적문자가능존재경사、광조불균、조음간우화변연유화등다충이태문제,제출일충유효적이태한자식별방법,칭작SC-HOG.수선,이용희소편마득도기향량화희소계수,통과중구도상려제조음、처리변연유화；연후,이용제도방향직방도추취복원도상적한자변연제도특정,삭약경사화광조적영향；최후,장획취적특정향량송입분류기,실현이태한자적식별.통과합성수거집화진실수거집량방면적실험래험증SC-HOG방법적유효성：전일방면실험결과표명,SC-HOG방법대우경사、광조불균、조음간우화변연유화등이태정황유교강적로봉성；후일방면실험결과표명,SC-HOG 방법재원생수자도상화장경도상진실양본집상야능취득교호적결과.
Recognizing characters from the complex image plays an important role in content-based image retrieval and has been well studied in past decades. The methods for normal characters recognition, however, become inapplicable when characters suffer from skew, uneven illumination, noise and anti-aliasing. A new method, named SC-HOG, is proposed in this paper for recognizing abnormal Chinese characters. Firstly, sparse coding is applied on abnormal character image to smooth noises and reduce anti-aliasing. Secondly, HOG features that help reducing the influence of skew and uneven illumination are extracted. Finally, these features are fed into a well-trained classifier to recognize the character of the given image. Experiments on both synthetic and real data sets show that the proposed method, SC-HOG, achieves high accuracy on abnormal Chinese characters recognition.