In any institution or company, managing the records of attendance of the staff and students or employees is a tedious task. This project focuses on automating the attendance process through a biometric scanning technique. As, the finger print is a feature that is peculiar to an individual, it would help in efficiently identifying the person and would help in saving a great deal of paper work and other problems such as managing the records and avoidance of a traditional method called ‘buddy punching’. Buddy punching was a major loophole which will be exploiting in the traditional time attendance systems. Though fingerprint recognition is an established field today, but still identifying individual from a set of enrolled fingerprints is a time taking process. Hence, we have developed a project to efficiently identify the individual's finger print, check its authenticity and store the information in a database with various details like time and date of the entry.


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    Title :

    Smart attendance


    Contributors:
    Purohit, Aditi (author) / Gaurav, Kumar (author) / Bhati, Chetan (author) / Oak, Atul (author)


    Publication date :

    2017-04-01


    Size :

    398785 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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