Gong-kuang zidonghua (Nov 2014)
Research of uniqueness detection technology for in-pit coal mine personnel
Abstract
Based on analysis of characteristics of biometric feature recognition technologies by palmprint, fingerprint, iris, face, gait and voiceprint and impacts of coal mine field on biometric features of in-pit coal mine personnel, it was pointed out that iris recognition, face recognition, gait recognition and voiceprint recognition were applicable to uniqueness detection of in-pit coal mine personnel. A scheme of uniqueness detection of in-pit coal mine personnel was proposed based on personnel location and biometric feature recognition, which embedded biometric feature recognition technology into personnel location system and used personnel location identification cards to achieve uniqueness detection of the card number and personnel identity. Key points of research on uniqueness detection technology of in-pit coal mine personnel were pointed out, which were recognition algorithms of seriously-stained face, acquisition algorithms of personnel gait images under the condition of equipment occlusion and elimination algorithms of noise in coal mine field mixing into personnel voice signals.
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