A study of human recognition using inner joining lines of fingers

A new method is presented for person verification based on inner joining lines of fingers of right hand. This paper attempts to improve the performance of hand geometry based verification system by reducing the amount of features and integrating new features. It also decreases computational time by introducing a moderated edge detection method based on high pass filter. The image acquisition of this system is different than other hand geometry based biometric systems. The system requires only the upper portion of a palm image instead of image of full palm. Hence it reduces the database size. The proposed system is suitable for capturing images by a digital camera or a normal scanner. The best performance of the proposed system will be found by Euclidean distance metric. The method has been tested on a medium size dataset of 100 images with promising results of 0.02% false rejection rate(FRR), 0% false acceptance rate(FAR) and 99.99% total success rate(TSR).