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An Application of Eight Connectivity based Two-pass Connected-Component Labelling Algorithm For Double Sided Braille Dot Recognition

机译:基于八连通性的两遍连通分量标注算法在双面盲文点识别中的应用

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The intrinsic noise present in the image during the acquisition phase marks the recognition of Braille dots a challenging task in Optical Braille Recognition (OBR). Further, while the Braille document is being embossed on either side in the case of Inter-Point Braille, this problem of Braille dot recognition is aggravated and it makes the differentiation between recto (convex) dots and verso (concave) dots more complex. Also, the recognition of Braille dots should be carried out by reading information recorded on both sides of paper by scanning only one side. This work proposes a novelty to circumvent this issue for distinguishing convex points from concave points even if they are adjacent to each other by using only the shadow patterns of the dots and by employing the connected component labelling using two-pass algorithm and the eight connectivity property of a pixel. Enthused by the fact that, during the acquisition phase, the reflection of light through the verso dots results in a high pixel count for them when compared to the recto dots, this technique works perfectly well with good quality Braille. Furthermore, due to the natural problems like ageing and frequent usage of the document the Braille dots tend to deteriorate resulting in the down fall of the performance of the algorithm for the Braille image. Besides to this for the recognition of the Braille cell in a Braille document with some special cases an adaptive grid construction technique has also been proposed. The results extracted reveal that the enactment of the proposed technique is much consistent and dependable and that the accuracy is very much comparable to the modern state of the art techniques.
机译:在采集阶段,图像中存在的固有噪声标志着盲文点的识别是光学盲文识别(OBR)的一项艰巨任务。此外,在点对点盲文的情况下,虽然在两面都凸印了盲文文档,但是盲文点识别的问题加剧了,这使得正(凸)点和反(凹)点之间的区别更加复杂。另外,应通过仅扫描一侧来读取记录在纸张两面的信息来进行盲文点的识别。这项工作提出了一种新颖的方法,可以通过仅使用点的阴影图案并通过使用两遍算法和八连通性属性使用连接的组件标记来解决即使将凸点彼此相邻也可以区分凸点和凹点的问题。像素受到这样一个事实的鼓舞,在采集阶段,与正反点相比,通过正反点的光反射会导致它们的像素数高,因此该技术与高质量的盲文点完美配合。此外,由于诸如老化和文档的频繁使用之类的自然问题,盲文点趋于恶化,从而导致盲文图像算法的性能下降。除此之外,为了在某些特殊情况下识别盲文文档中的盲文单元,还提出了一种自适应网格构建技术。提取的结果表明,提出的技术的实施是非常一致和可靠的,其准确性与现代技术水平相当。

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