Abstract: The present disclosure relates to a half-cast mark identification and damaged flatness evaluation and classification method for blastholes in tunnel blasting, including the following steps: S1-2: photographing first and second contrast images as well as a half-cast mark image after blasting; S3-6: performing denoising, gray-scale processing and binary processing on the above images, and identifying a boundary of a half-cast mark in each of the images; S7-9: determining a flatness damage variable, a quantitative relation among an area of a half-cast mark region, the damage variable and a fractal dimension, and a damage value of the half-cast mark image; S10-11: forming five-dimensional (5D) eigenvectors to obtain multi-dimensional digital information features of the images; and S12-13: selecting eigenvectors of 60 images as training data to input to a naive Bayes classifier (NBC), and taking eigenvectors of remaining 30 images as classification data to input the above well-trained NBC for classification.

Abstract: Disclosed are a method, server, client and system for verifying a verification code. The method includes: sending a verification picture to a client according to a verification request from the client; acquiring from the client voice information that is input by a user according to the verification picture; and processing the voice information and performing verification according to acquired voiceprint information and/or text information. The server includes a sending module, an acquiring module and a verifying module. The client includes a receiving module, an acquiring module and a sending module. The system includes a server and a client. It may be effectively distinguished as whether the verification code is submitted by the user or by others, such that the problem of manual coding is effectively solved, and the operating cost of the server side is reduced and the overhead is saved.

Abstract: Disclosed are a method, server, client and system for verifying a verification code. The method includes: sending a verification picture to a client according to a verification request from the client; acquiring from the client voice information that is input by a user according to the verification picture; and processing the voice information and performing verification according to acquired voiceprint information and/or text information. The server includes a sending module, an acquiring module and a verifying module. The client includes a receiving module, an acquiring module and a sending module. The system includes a server and a client. It may be effectively distinguished as whether the verification code is submitted by the user or by others, such that the problem of manual coding is effectively solved, and the operating cost of the server side is reduced and the overhead is saved.