[1] Ke C L. Verification of facsimile signature[D], 15-18(2007).
[2] Crane H D, Ostrem J S. Automatic signature verification using a three-axis force-sensitive pen[C]. //IEEE Transactions on Systems, Man, and Cybernetics., 329-337(1983).
[4] Li H, Wang J S. An attempt to detect the pressure of handwriting with static electricity trace detector[J]. Journal of Chinese People's Public Security University(Social Sciences Edition), 4, 71, 76(1988).
[7] Zhou G X, Ai P F, Pan Z Q. Study on characteristics of static handwritten signatures captured by electromagnetic tablet: take Wacom Bamboo Slate CDS610S digital tablet as example[J]. Chinese Journal of Forensic Sciences, 56-62(2019).
[8] Xiao S Y, Peng L R, Yan R J et al. Deep network with pixel-level rectification and robust training for handwriting recognition[C]. // 2019 International Conference on Document Analysis and Recognition (ICDAR), September 20-25, 2019, Sydney, NSW, Australia., 19318431(2019).
[9] Shen S, Han D Y, Yu G. An experimental research on the characteristics of imitated signatures by using the handwriting three-dimensional information extraction analyzer[J]. Journal of Criminal Investigation Police University of China, 66-69(2016).
[10] Liang S. The application of RTI in handwriting 3D character[D], 8-13(2018).
[12] Woodham R J. Photometric method for determining surface orientation from multiple images[J]. Proceedings of SPIE, 1911, 191139(1980).
[13] Sakarya U, Leloğlu U M, Tunalı E. Three-dimensional surface reconstruction for cartridge cases using photometric stereo[J]. Forensic Science International, 175, 209-217(2008).
[16] Shi K L. Research on obstacle detection algorithms for binocular vision robots discipline[D], 24-26(2019).
[17] Zhang S Y, Zhao Y M, Li J L. Algorithm and implementation of image classification based on SVM[J]. Computer Engineering and Applications, 43, 40-42, 86(2007).