The geometry of the hand bones can also be used for recognition

• (2013 Sep) An automatic algorithm for human identification using hand X-ray images, / Yeihya Kabbara; Ahmad Shahin; Amine Nait-Ali; Mohamad Khalil.
• (2013 Sep) Hidden biometrie identification/authentication based on phalanx selection from hand X-ray images with safety considerations, / Y.Kabbara; A.Naït-Ali; A.Shahin; M.Khalil.

The geometry of the hand bones can also be used for recognition

• (2017 Mar) Human identification using X-ray image matching, / Ryudo Ishigami, Thi Thi Zin, Norihiro Shinkawa and Ryuichi Nishii.

Knee Recognition

Lior Shamir publishes:

• (2009 Jan) Biometric identification using knee X-rays, Int. J. of Biometrics, vol. 1, no. 3, pp. 365-370. Inderscience, 2009
  Experimental results show that the rank-10 identification accuracy using a dataset of 425 individuals is ~56%, and the rank-1 accuracy is ~34%.
• (2013 Jan) MRI-based knee image for personal identification, Int. J. Biometrics, Vol. 5, No. 2, pp.113–125
  Knee MRI images of 2,686 different patients were used in the experiment, and analysed using the wndchrm image classification scheme. Experimental results show that the rank-10 identification accuracy using the MRI knee images is ~93% for a dataset of 100 individuals, and ~45% for the entire dataset of 2,686 persons.

Frontal Sinus Recognition

The frontal sinus is highly variable and unique for every individual.
Identification basée sur la forme du sinus.

• (2008 Mar) Falguera & als from UNESP (Brazil) presented a paper at the SPIE Defense & Security with matching results of the frontal sinus Frontal Sinus Recognition Using Image Foresting Transform and Shape Context
• (2009 Feb) An Automatic Recognition of the Frontal Sinus in X-Ray Images of Skull
  Tabor, Z. ; Karpisz, D. ; Wojnar, L. ; Kowalski, P. (Inst. of Appl. Comput. Sci., Cracow)