Segmentation of Palmprint into Region of Interest (ROI): A Survey


  • Sneha M. Ramteke SGGSIE&T, Nanded,
  • Prof. S. S. Hatkar SGGSIE&T, Nanded,



Biometrics, Palmprint, ROI, Region based segmentation, Image pre-processing, principle line extraction.


Palmprint is one of the most reliable physiological characteristics that can be used to distinguish between individuals. Palmprint recognition process consists of image acquisition, pre-processing, feature extraction, matching and result. One of the most important stages in these methods is pre-processing which contains some operations such as filtering, Region Of Interest (ROI) extraction, normalization. This paper provides a survey on various different methods to segmentation of palmprint into ROI and extraction of principle lines. ROI segmentation of palmprint is to automatically and reliably segment a small region from the captured palmprintimage.We pay more attention towards more essential stage of palm localization, segmentation and ROI extraction. Finally some conclusion and suggestion is offered.


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Author Biographies

Sneha M. Ramteke, SGGSIE&T, Nanded,

Student of M.TECH.,Department of CSE,

Prof. S. S. Hatkar, SGGSIE&T, Nanded,

Associate Professor, Department of CSE




How to Cite

Ramteke, S. M., & Hatkar, P. S. S. (2005). Segmentation of Palmprint into Region of Interest (ROI): A Survey. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 4(2), 613–619.



Research Articles