Using Neural Natural Network for Image Recognition in Bioinformatics

Abstract

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.

Intelligent Identification of Logistics Packaging Products Based on Neural Network

“…Usually the classification and localization tasks in the target detection network share network parameters, which can greatly reduce the amount of parameters and computation, but the classification task and the detection task have slightly different image features [15]. After the latest detection algorithm starts to share the basic network parameters for classification and positioning, two independent prediction branch networks, such as RetinaNet, the prediction branch network is small.…”