Vol.8, No.1, February 2019.                                                                                                                                                                             ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

People Identification Based on Person Image and Additional Physical Parameters Comparison


Adnan Ramakić, Zlatko Bundalo, Dušanka Bundalo, Bojan Rakita


© 2019 Zlatko Bundalo, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 8, Issue 1, Pages 87-93, ISSN 2217-8309, DOI: 10.18421/TEM81-12, February 2019.


Received: 11 December 2018.
Accepted: 01 February 2019.
Published: 27 February 2019.




This paper proposes and presents one approach for people identification based on image and additional physical parameters, height and step length, of a person comparison. People identification is very important in many areas of human life. There are large number of identification methods (biometric methods) that include a different scope of methods, for example fingerprint identification, hand geometry identification, facial recognition, methods based on human eye identification (retina and iris), gait recognition etc. Most of that methods require some kind of interaction with a person, what could be a problem in many practical applications. The method that does not require any interaction with a person is gait recognition. One approach for a people identification based on gait recognition, that uses silhouettes of a person and parameters of person height and step length, is proposed and presented in this paper.


Keywords – People identification, Gait recognition, Biometric methods, Person height, Person step length.



Full text PDF >  



Copyright © 2012-2019 UIKTEN, All Rights reserved
Copyright licence: All articles are licenced via Creative Commons CC BY-NC-ND 4.0 licence