Recently, JPEG2000 standard has played a vital role on biometric applications such as face and finger-print biometrics. Ear biometric system is observed as one of the efficient biometric trait. The ear is large and passive trait, making ear image acquisition more easily from a distance and can use in surveillance applications. Therefore, we study the impact of JPEG2000 on ear recognition performance which the ear image may transfer over low quality wireless channels. Local descriptors like POEM, LPQ, LBP, and BSIF are used to represent and extract ear image features. Then, JPEG2000 is exploited to compress the image of ear. Finally, support vector machine is adopted for ear recognition at various compression rates. To evaluate our study, the experimental results are conducted on two public ear databases; USTB and IIT Delhi databases. The results show the superior of LPQ descriptors till compression rate 0.4 bpp.
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