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Here you can see the main research on the topic of eyeglasses detection, recognition, extraction and removal:

• Jiang, X., Binkert, M., Achermann, B., & Bunke, H. (2000). Towards detection of glasses in facial images. Pattern Analysis & Applications, 3(1), 9-18.
• Jing, Z., & Mariani, R. (2000). Glasses detection and extraction by deformable contour. In Pattern Recognition, 2000. Proceedings. 15th International Conference on (Vol. 2, pp. 933-936). IEEE.
• Jing, Z., Mariani, R., & Wang, J. (2000). Glasses detection for face recognition using bayes rules. In Advances in Multimodal Interfaces—ICMI 2000 (pp. 127-134). Springer Berlin Heidelberg.
• Wu, H., Yoshikawa, G., Shioyama, T., Lao, T., & Kawade, T. (2002). Glasses frame detection with 3D Hough transform. In Pattern Recognition, 2002. Proceedings. 16th International Conference on (Vol. 2, pp. 346-349). IEEE.
• Wu, C., Liu, C., Shum, H. Y., Xy, Y. Q., & Zhang, Z. (2004). Automatic eyeglasses removal from face images. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 26(3), 322-336.
• Wu, B., Ai, H., & Liu, R. (2004, August). Glasses detection by boosting simple wavelet features. In Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on (Vol. 1, pp. 292-295). IEEE.
• Xiao, Y., & Yan, H. (2004). Extraction of glasses in human face images. In Biometric Authentication (pp. 214-220). Springer Berlin Heidelberg.
• Heo, J., Kong, S. G., Abidi, B. R., & Abidi, M. A. (2004, June). Fusion of visual and thermal signatures with eyeglass removal for robust face recognition. In Computer Vision and Pattern Recognition Workshop, 2004. CVPRW'04. Conference on (pp. 122-122). IEEE.
• Park, J. S., Oh, Y. H., Ahn, S. C., & Lee, S. W. (2005). Glasses removal from facial image using recursive error compensation. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 27(5), 805-811.
• Vaquero, D. A., Feris, R. S., Tran, D., Brown, L., Hampapur, A., & Turk, M. (2009, December). Attribute-based people search in surveillance environments. In Applications of Computer Vision (WACV), 2009 Workshop on (pp. 1-8). IEEE.
• Kumar, N., Berg, A. C., Belhumeur, P. N., & Nayar, S. K. (2009, September). Attribute and simile classifiers for face verification. In Computer Vision, 2009 IEEE 12th International Conference on (pp. 365-372). IEEE.

• Dantcheva, A., Velardo, C., D’angelo, A., & Dugelay, J. L. (2011). Bag of soft biometrics for person identification. Multimedia Tools and Applications, 51(2), 739-777.

  NOTE: Experiments in some of these research showed that measure from the region containing the nosepiece of the glasses is the most powerful criterion for glasses recognition.