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An Efficient Feature Extraction and Dimensionality Reduction Scheme for the Vitreous Arabic Numerals Recognition

机译:玻璃玻璃标数识别的有效特征提取和维数减少方案

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In this paper, we present an on-line methodology for the Arabic Numeral Character recognition based on efficient feature extraction followed by a suitable feature vector dimensionality reduction scheme. We have designed a novel system for the recognition of vitreous digits. This new system aims at attaining a very high recognition rate and a very high reliability at the same time, in other words, achieving an excellent recognition performance of vitreous Arabic numeral character. Experiments conducted on the same or similar characters' feature extractions are shown with encouraging results: a high reliability of 83.5% with the first recognition, and a 98.62% correct recognition rate without rejection in the last cascade layer.
机译:在本文中,我们基于有效特征提取的阿拉伯数字字符识别提出了一种基于合适的特征向量维度降低方案的在线方法。我们设计了一种识别玻璃位数字的新系统。这种新系统旨在同时实现非常高的识别率和非常高的可靠性,换句话说,实现了玻璃阿拉伯标号特征的出色识别性能。在相同或类似的特征提取中进行的实验显示,令人鼓舞的结果显示:高可靠性83.5%,第一次识别,识别率为98.62%,在最后的级联层中不抑制。

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