Sentence examples for image per person from inspiring English sources

The LGR focuses on improving recognition accuracy when a single image per person is available for the gallery and probe.

A significant improvement in recognition rate is achieved for the case of single training image per person.

Also, significant improvement in the recognition rate is achieved by the proposed scheme when only single training image per person is available.

This certainly enhances the suitability of these methods to outperform even in the presence of only a single exemplar image per person.

Comparison of performance of the proposed combined descriptors with other popular methods for face recognition with single (first) example image per person.

This prompted us to take a biologically inspired look at building a cognitive architecture that uses artificial neural nets at the face detection stage and adapts a single image per person (SIPP) approach for face image matching.

As a result, there are total 2432 images: 266 (7 images per person), 456 (12 images per person), 456 (12 images per person), 532 (14 images per person), and 722 (19 images per person) images in subsets 1 to 5, respectively.

In every session, 60, fingerprint images per person were obtained.

In the training sessions of the BANCA database 5 client images per person are available.

Standard camera acquisitions of 210 users, 8 images per person, are used in our experiments.

We used a subset of the CASIA-FingerprintV5 [43] (first 100 persons, five images per person, left thumb) of 500 images.