University of Bahrain
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Automated Details Retrieval System for victims of Inci-dents and Accidents using Fingerprint

Show simple item record Mahmood Ali, Mohammed 2021-08-20T00:05:07Z 2021-08-20T00:05:07Z 2021-08-20
dc.identifier.issn 2210-142X
dc.description.abstract Complaints related to accidental and incident cases are not updated effectively in online databases especially by Private and Government hospitals, due to which the information details of such victims are missing. The problems faced in identifying such victims from unexpected accidents and incidents are difficult for tracing their details from existing methodology adopted. To overcome, the victim‟s information can be tracked with the existing available databases by building an integrated Automated Details Retrieval System (ADRS) using victims Finger-print from which Aadhaar details and mobile numbers are extracted. Simultaneously, ADRS also searches for retrieving some additional details from repositories of Driving license, Voter-id card, Pan Card, Social Networking Sites (SNS) and Mobile Service providers. Input to ADRS is Thumb/Finger impression of victims who are partially injured or missing children‟s or aged persons or mentally disabled persons. Internally, ADRS detects and chooses unique Aadhaar number from the victims fingerprint. Later, ADRS starts mapping, crawling, retrieving and then gathering information through others databases (Pan, voter-id, Passport and Driving license, SNS) which makes the ADRS more precise and efficacious. This ADRS retrieves the information details by crawling through the online databases and generates the report. The generated report constitutes of Name, address, mobile, father‟s name, DOB and mobile number of victim along with details of six (6) nearest family members are fetched using Reinforcement machine learning technique. With this facility, unknown details can be traced and intimated to their family members regarding the condition of deceased persons or missing adults or children‟s. The precision rate obtained from the proposed ADRS is 96.39%. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri *
dc.subject Accidental en_US
dc.subject Reinforcement Learning en_US
dc.subject Finger impression en_US
dc.subject ADRS (Automated Details Retrieval System) en_US
dc.subject Aadhaar en_US
dc.title Automated Details Retrieval System for victims of Inci-dents and Accidents using Fingerprint en_US
dc.identifier.doi en_US
dc.contributor.authorcountry India en_US
dc.contributor.authoraffiliation Department of Computer Science and Engineering, MJCET, Osmania University en_US
dc.source.title International Journal Of Computing and Digital System en_US
dc.abbreviatedsourcetitle IJCDS en_US

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