Abstract
An efficacious matching of 240 Finger knuckle print images using Gabor feature by extracting position and weight with a record of 5362 values for each image. In this approach, the original image is compared with the other images captured at different angles. According to the obtained records, a difference is calculated between the two images which results in how much disparity subsist between the two images. The comparison is made apparent by generating a 3-D graph which shows the best match of the original image. The data is taken from Hong Kong Polytechnic University which contains 7920 FKP images of 660 different individuals.
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Bhattacharya, N., Dewangan, D.K., Dewangan, K.K. (2018). An Efficacious Matching of Finger Knuckle Print Images Using Gabor Feature. In: Saini, A., Nayak, A., Vyas, R. (eds) ICT Based Innovations. Advances in Intelligent Systems and Computing, vol 653. Springer, Singapore. https://doi.org/10.1007/978-981-10-6602-3_15
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DOI: https://doi.org/10.1007/978-981-10-6602-3_15
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