Start Projects IPASs

Iris Positive Authentication System (IPASs)

The goal of the project

The main aim of the project is to design simple, low-cost device able to realize iris positive authentication within DMCS employees that can be practically implemented in B18 buliding on TUL campus. The scientific goal of the project is to design less-cooperative iris-based biometric authentication system as well as methods and devices for acquisition of images with sufficient content of distinctive features.

The essence of the problem

The essence of the project is to enable the automatic identification of people that were previously registered by the system on the basis of observation carried out by the specialized low-cost vision system. Although there are known solutions for positive biometric authentication (identification or verification) available at the commercial market there is still a place for innovations in the area of automated biometric recognition using iris pattern, especially when cooperation between subject and system is taken under consideration. Such systems must deal with highly unconstrained imaging conditions, such as: exposition, wavelength of illumination, ambient light reflections from the eye’s surface, perspective fluctuations as well as cheat attempts, etc. These problems are going to be considered by the team within this project.

Detailed characteristic of final result

It is assumed that the software already developed for the TMS320C6455 digital signal processor in the frame of the previous projects, after major adjustments, can run on the digital signal processor integrated in the System-on-Chip system, such as DM3730. The TMS320C6455 processor used so far is software compatible with the signal processor included in the presented SoC systems (belongs to the C64X+ family of processors). This will allow to build an efficient computational platform integrated with the vision system for real-time analysis of video images for iris biometric selection. In the first part of the proposed research, the authors are planning to use typical development boards, such as BeagleBoard-XM containing advanced SoC devices, cameras and optics – see fig. 1.


  • Linux platform for communication layer (ARM)
  • image preprocessing and authentication (DSP)
  • Supply provided using Power over Ethernet standard
  • Network of independent devices placed in the key points of the B18 building
  • Central unit for database synchronization and data logging.

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Fig. 1. BeagleBoard-XM with dedicated camera module and optics – exemplary picture.