• Sheetla Prasad

Palm print recognition has risen as a profoundly acknowledged biometric framework because of its simple acquisition and unwavering quality. Palm is the internal surface of hand among wrist and fingers. The inward surface of palm contains three flexion wrinkles, optional wrinkles, and edges for each finger. The flexion is additionally called as chief lines and auxiliary wrinkles are called wrinkles. Palm feature likewise incorporates particular focuses, edges, wrinkles, and delta, datum and particulars focuses. Palm features are remarkable for each person and have rich data that can be utilized for feature extraction. The palm lines and wrinkles are shaped during third and fifth month of the development of baby. An area of interest (ROI) is separated from the palm region for handling. Palm recognition process incorporates feature extraction (put away as layout in the database) coordinating (input question features are coordinated with put away features) and choice making (to acknowledge or dismiss the inquiry dependent on coordinate score). In this part a review of palm print recognition framework, handling stages and approaches is displayed.

Palm print recognition, biometrics, image processing, computer vision, traits.

"Palm-Print Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.406-410, February-2019, Available :http://www.jetir.org/papers/JETIREO06096.pdf

"Palm-Print Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp406-410, February-2019, Available at : http://www.jetir.org/papers/JETIREO06096.pdf