A Comparative Analysis Between the Performance of the Extracted Features of JPEG and PNG on a Raspberry Pi Iris Recognition System
Gio Arturo S. Martinez, Reese Elijah B. Moralde, Noel B. Linsangan, Rayellee Myrtle Laire Ang · 2023
The image file format used in iris recognition systems has been proven to affect the performance of iris authentication. PNG and JPEG, the image file formats that are among the most common, will be compared in this study by converting a single iris image to the two image file formats, which will then be evaluated using total and average processing time FRR and FAR. The two file formats differ in their used image compression algorithms. JPEG achieves a lossy image compression, which results in irreversible data loss after every compression, using DCT (Discrete Cosine Transform). On the other hand, PNG achieves lossless image compression using the DEFLATE algorithm. Both algorithms' motive is to compress data. The latter, however, executes this without losing data. The image file formats are compared on a Raspberry Pi 4B that runs the iris recognition system utilizing Daugman's algorithm. After conducting 80 trials of iris recognition in the system, the JPEG database resulted in a total and average processing time of 70.8301s and 1.7708s respectively, and a FRR of 0.05 and a FAR of 0.05. Meanwhile, the PNG database yielded a total and average processing time of 72.2576s and 1.8064s respectively, and a FRR of 0.10 and a FAR of 0.05. This comparative study identified that the extracted iris features from JPEG produced better recognition performance results in the implemented iris recognition system over PNG.