This paper is concerned with classification of the 14 regional accents of British English in the ABI (Accents of the British Isles) speech corpus. Results are reported using a state-of-the-art Language Identification system, variants of Huckvale's ACCDIST system, and human listeners. The best performance, 95.18% accuracy, is obtained using the text-dependent ACCDIST measure. The performance of a conventional (text-independent) acoustic Language Identification system is poor, but is improved significantly (89.6% accuracy) by the addition of phone sequence information. Human performance (58.25% accuracy) is much lower than expected.