Bio-metric Iris Security System Using Raspberry Pi
Biometric is an automated recognition process that measures the unique human characteristics, such as iris recognition. Among the different biometric modalities like a fingerprint, finger vein, palm vein, facial, retina, etc. iris is one of the most reliable ones. Iris biometric authentication is th
2025-06-28 16:30:38 - Adil Khan
Bio-metric Iris Security System Using Raspberry Pi
Project Area of Specialization Artificial IntelligenceProject SummaryBiometric is an automated recognition process that measures the unique human characteristics, such as iris recognition. Among the different biometric modalities like a fingerprint, finger vein, palm vein, facial, retina, etc. iris is one of the most reliable ones. Iris biometric authentication is the complex mathematical pattern recognition technique that identifies the unique and stable video images of the single or both irises of an individual which is possible to distinguish from a distance range.
To make this possible, Artificial Intelligence, Machine Learning and Deep learning are the main curves to follow.
The project would have a Raspberry Pi to make the system portable. An Infrared camera would acquire the iris pattern, that would be fed through the system and generated pattern would be matched to already fed authorized personals. Authorized personals would access the locker.
Project ObjectivesThe main objective of the system is to provide low cost, low maintenance, most highly reliable and accurate biomimetic systems to the consumer. It would provide portability that would make this system entirely independent and cheap.
conventionally, Biometric systems are not portable and not cheap. this would make to carry this product in a briefcase case size (or possibly less size) anywhere.
this project would make able to secure any of the systems with very little customization.
The possible implementations of this project are endless and the market of the IRIS system is in high demand including physical access control, computer security, citizen ID and transactional-based applications. Border control, simplified passenger travel and access control applications at airports are today the most talked about the use of the technology, in particular since the terrorist attacks of September 11th.
Iris recognition using Daugman algorithm works in a step by step procedure. The algorithm will first locate the center of the pupil. Once located, it will determine the diameter of the pupil.
Next, it will locate and determine the outer edge diameter of the iris, and then finding the useful region of the iris, applying a series of Gabor filters to the pixels found in the iris, with the use of polar coordinates, and creation of code for the iris. And finally, Hamming Distance is used to determine if an iris is within the database or recognized. Improvements are made to make the algorithm more accurate and faster in terms of performance.
Various applications of biometric systems are also applied using raspberry pi technology like image recognition, fingerprint identification and many more.
The problem is that from the previous studies, the whole iris recognition system is composed of many applications to complete the whole processing. Also one of the most common problems and a crucial part of the system is how to get an eye image that will be qualified for the recognition. Lastly, most of the systems are created and runs on a standard computer making the cost and composition of the whole system expensive.
Benefits of the Project THIS LIST IS ENDLESS-low cost
-low maintenance
-most reliable and accurate biomimetic systems
-portability that would make this system entirely independent and cheap.
-product in a briefcase case size (or possibly less size) anywhere.
-secure any of the systems with very little customization.
-The possible implementations of this project are endless and
-the market of the IRIS system is in high demand including physical access control,
-computer security,
-citizen ID and
-transactional-based applications.
-Border control,
-simplified passenger travel
-airports are today the most talked about the use of the technology, in particular since the terrorist attacks of September 11th.
Technical Details of Final DeliverableThe main stages are: Image Acquisition, Localisation, generating wights, unwrapping iris image, applying Gabor filter, generating weights, feed to the database and add physical lock system with GPIO of the raspberry pi.
The first stage of iris recognition is an image acquisition, which aims for acquiring a good quality and an adequately illuminated image of iris. The next step is segmentation, which localizes the iris region and its boundaries. The following stage is normalization, which transforms the detected iris area into a standardized form, used as input data for the next stages.
The iris recognition algorithm is based mainly on the algorithm proposed by Daugman. It is one of the most accurate technique with very low false acceptance as well as rejection rates. This is how technology becomes very useful. Biometric identification based on an iris image is an issue developed for over 20 years, and the first significant solutions have appeared in John Daugman's works.
The iris recognition process is partly defined in the norm ISO/IEC 19794-6:2011, which specifies iris image interchange formats for biometric enrolment, verification, and identification systems. It should be noted that this norm does not define requirements of the optical specifications of cameras, photometric properties of iris images, or enrolment processes, workflow and use of iris equipment.
For live detection of iris already been mentioned above, requires the specific condition to work with. An iris scan can be carried out through 10 cm to a few meters apart. The first stage of iris recognition is an image acquisition, which aims for acquiring a good quality and an adequately illuminated image of iris.
Iris Verification the most reliable and accurate method of biometric technology when compared with others. Various biometric traits, iris verification has the highest degrees of freedom with higher verification accuracies. Since the iris is developed in early childhood and stays stable for the entire lifetime, iris recognition is said to be accurate, reliable against artifice.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 40195 | |||
| Raspberry Pi 4 | Equipment | 1 | 17000 | 17000 |
| cooling fan, batteries, adapter, memory card 64gb | Equipment | 1 | 12000 | 12000 |
| stationary, printing, posters etc | Miscellaneous | 1 | 10000 | 10000 |
| 7 inch lcd of raspberry | Equipment | 1 | 1195 | 1195 |