Dear Christian,

Yes. I think you may go for that for feature extraction of handwritten text. Kindly follow the papers below:

[1] Wu, X., Tang, Y., & Bu, W. (2014). Offline text-independent writer identification based on scale invariant feature transform. IEEE Transactions on Information Forensics and Security, 9(3), 526-536.

[2] Trier, Ø. D., Jain, A. K., & Taxt, T. (1996). Feature extraction methods for character recognition-a survey. Pattern recognition, 29(4), 641-662.

[3] Hao, M. E. N. G., & Cheng, K. (2009). Object location technique for binocular stereo vision based on scale invariant feature transform feature points [J]. Journal of Harbin engineering university, 6, 012.

[4] Terasawa, K., & Tanaka, Y. (2009, July). Slit style HOG feature for document image word spotting. In Document Analysis and Recognition, 2009. ICDAR'09. 10th International Conference on (pp. 116-120). IEEE.

[5] Gattal, A., Djeddi, C., Siddiqi, I., & Chibani, Y. (2018). Gender Classification from Offline Multi-Script Handwriting Images using Oriented Basic Image Features (oBIFs). Expert Systems with Applications.

[6] Roy, P. P., Bhunia, A. K., & Pal, U. (2018). Date-field retrieval in scene image and video frames using text enhancement and shape coding. Neurocomputing, 274, 37-49.

Thanks,

Sobhan

thanks for the references. will definitely check them out