• D.Raghavendra
• Dr.P.Venkataramana

The desire of economy, reliable and alternate to contact based biometric systems led to invention of many Biometric recognition options. Among the most operated options are fingerprint recognition, iris recognition, face recognition, voice recognition, etc. However, based on convenience and performance of these standard methods have some issues. Every human hand has specific vein patterns. Dorsal hand veins based recognition is more suitable than all other standard methods because the vein patterns are difficult to forge and its acquisition process is easy. The proposed system is one of the biometric technique which introduces the design and implementation of a system using multiple algorithms for selecting ROI and to estimate the image ROI, edge and morphological filtering for feature extraction. These algorithms give good accuracy for the specified region of interest. The proposed results have been improved when compared to the existing results. The entire system will be developed in MATLAB.

Biometrics, Dorsal veins, Multimodal, Feature extraction, Evaluation metrics, Hybrid Algorithms.

"Dorsal Hand Veins Based Biometric Recognition System Using Hybrid Processing Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.10-18, June-2018, Available :http://www.jetir.org/papers/JETIR1806002.pdf

"Dorsal Hand Veins Based Biometric Recognition System Using Hybrid Processing Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp10-18, June-2018, Available at : http://www.jetir.org/papers/JETIR1806002.pdf