【摘要】 笔迹识别作为一种身份识别技术 ,具有自然 ,非入侵等优点 ,因此成为模式识别和机器学习领域的一个研究热点。本文提出了一种与文本无关的笔迹识别方法 ,该方法利用独立分量分析 (IndependentCompo nentAnalysis ,ICA)来提取笔迹的纹理特征 ,并利用竞争学习方法确定笔迹的特征编码。实验结果证明利用该方法进行笔迹识别具有很好的效果。更多还原

【Abstract】 Writer recognition, as an identification technology, has many advantages, such as natural interaction and non-intrusive detection, thus it becomes a hot topic in pattern recognition and machine learning research area. This paper proposes a new writer recognition algorithm of text independent, which adopts Independent Component Analysis (ICA) to extract texture feature and competitive learning mechanism to determine the center of class. Experimental results show that our algorithm is efficient.更多还原