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Using Neural Natural Network for Image Recognition in Bioinformatics

机译:使用神经自然网络进行生物信息学中的图像识别

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摘要

Automatic image recognition is very useful in bioinformatics. This article presents a novel technique to recognize the characters in the number plate automatically by using connected component analysis (CCA), artificial neural network (ANN) and neural natural network (Triple N). The preprocessing steps, Sobel edge detection technique and CCA are applied to the captured image of the vehicle to obtain character images. ANN technique can be used over these images to recognize the characters of the image in bioinformatics. The preprocessing steps are used to remove the noise and to enhance the image for recognizing the characters effectively. After performing the preprocessing steps, the edge detection technique and CCA are carried out to separate the character images from the whole image which can be recognized using ANN. These text characters can be compared with database to find authentication of vehicle, identifying the owner of the vehicle, penalty bill generation, etc.
机译:自动图像识别在生物信息学中非常有用。本文提出了一种新技术,该技术可通过使用连接组件分析(CCA),人工神经网络(ANN)和神经自然网络(Triple N)自动识别车牌中的字符。将预处理步骤,Sobel边缘检测技术和CCA应用于车辆的捕获图像以获得字符图像。可以在这些图像上使用ANN技术来识别生物信息学中图像的特征。预处理步骤用于消除噪声并增强图像以有效地识别字符。在执行预处理步骤之后,将执行边缘检测技术和CCA,以将字符图像与可以使用ANN识别的整个图像分离。可以将这些文本字符与数据库进行比较,以查找车辆的身份验证,识别车辆的所有者,生成罚款单等。

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