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Neural network system for detecting Palmprint and method for providing Palmprint-based fortune forecasting service

机译:用于检测掌纹的神经网络系统和提供基于掌纹的财富预测服务的方法

摘要

The handprint detection neural network system according to an embodiment is a neural network system that detects a handprint image for a major handprint in an image, and has a structure in which a plurality of convolutional neural networks are connected in series, and when the image is input, the A feature extraction unit that extracts main feature information about the image; A signal refinement unit that refines a signal having the main characteristic information and has a structure in which a plurality of convolutional neural networks are connected in series; And a specific palmist extracting unit having a structure in which a transposed convolutional neural network is serially connected by detecting the specific main palmistry image by restoring the refined main characteristic information, wherein the specific palmistry extracting unit comprises at least one of the feature extracting units. And a filter concatenation that compensates for the lost information by combining the output value of the convolutional neural network of with at least one output value of the transposed convolutional neural network.
机译:根据实施例的手印检测神经网络系统是一种神经网络系统,其检测图像中的主要手印的手印图像,并且具有其中多个卷积神经网络串联连接以及当图像被识别时的结构。输入的特征提取单元提取有关图像的主要特征信息。信号细化单元,其对具有主要特征信息的信号进行细化,并且具有其中多个卷积神经网络串联连接的结构;并且具有一种特定手掌提取单元,该特定手掌提取单元具有这样的结构,其中,通过恢复经过细化的主要特征信息来检测特定主手掌图像,从而转置了转置卷积神经网络,其中,该特定手掌提取单元包括特征提取单元中的至少一个。以及一种滤波器级联,其通过组合卷积神经网络的输出值与转置的卷积神经网络的至少一个输出值来补偿丢失的信息。

著录项

  • 公开/公告号KR102127369B1

    专利类型

  • 公开/公告日2020-06-26

    原文格式PDF

  • 申请/专利权人 엔에이치엔 주식회사;

    申请/专利号KR20180123831

  • 发明设计人 이록규;강민석;

    申请日2018-10-17

  • 分类号G06Q50/10;G06K9;G06N3/02;G06T7;

  • 国家 KR

  • 入库时间 2022-08-21 11:04:23

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