{"id":817,"date":"2017-10-24T07:17:14","date_gmt":"2017-10-24T07:17:14","guid":{"rendered":"https:\/\/www.fastmetrics.com\/blog\/?p=817"},"modified":"2021-11-24T03:13:40","modified_gmt":"2021-11-24T03:13:40","slug":"authentication-with-hand","status":"publish","type":"post","link":"https:\/\/www.fastmetrics.com\/blog\/tech\/authentication-with-hand\/","title":{"rendered":"Authentication Now Comes With A Wave Of Your Hand"},"content":{"rendered":"

Two former\u00a0Leap Motion employees think they\u2019ve solved the perennial problem of passwords and identity management authentication. Under the nom de guerre of\u00a0Redrock Biometrics<\/a>, the company\u2019s technology is waging war on the world\u2019s legions of identification cards, pin numbers, passwords, and voice identification technologies with a combination of off-the-shelf hardware and proprietary software to identify palm-prints to verify user identity.<\/p>\n

\"\"<\/p>\n

Redrock Biometrics\u2019 chairman, Lenny Kontsevich, said that the company sees broad applications in authentication of payments in virtual worlds, physical security, and cash withdrawals among other transactions.<\/p>\n

\u201cYou can think about the palm as a very large fingerprint,\u201d says Kontsevich. \u201cIt has a rich structure and can be captured by any camera touch-lessly.\u201d<\/strong><\/p><\/blockquote>\n

 <\/p>\n

After Kontsevich worked with the startup\u00a0Kaching! the graduate of the Moscow Institute of Physics and Technology went to the lab to demonstrate (using only existing database technology) the matching software algorithms between palm prints and their unique signatures that would become the basis for Redrock Biometrics.<\/p>\n

The issue, for Kontsevich, was capturing the images and processing them from a background. That\u2019s where Hua Yang, Kontsevich\u2019s Leap Motion colleague came in. The two absconded from Leap Motion in 2015 and founded Redrock biometrics on the basis of Kontsevich\u2019s work and Hua Yang\u2019s background in machine learning and visualization.<\/p>\n

\u201cThere is no other commercially available palm biometric which works with RGB camera,\u201d Kontsevich told me.<\/strong><\/p><\/blockquote>\n

Redrock\u2019s technology converts a palm image into a unique signature and authenticates the user in 10- to 100-milliseconds depending on CPU speed, according to a statement. The technology uses machine vision techniques to detect a palm in a video stream and pass its descriptor for enrollment or verification, according to a statement. The technology runs on either a client or a server and matches a verification request against an enrollment template, using proprietary algorithms tested on thousands of palms.<\/p>\n

Positioning palm biometrics vs. either fingerprint or iris scanners, Konsevich says that the palm scanning technology he\u2019s developed doesn\u2019t require special equipment. And it\u2019s far more secure than scans like the face scanning technology currently the rage thanks to Apple\u2019s new iPhones. There are thousands of images of people\u2019s faces publicly available on social media that can be used to fake a face scan, says Konsevich.<\/p>\n

\u201cA palm, in this regard, is much harder to get. People don\u2019t make photographs of their palm in good resolution.\u201d\u00a0<\/strong><\/p><\/blockquote>\n

Most of the company\u2019s competitors are coming from university research products, which haven\u2019t developed a fully integrated product, but one company that did manage to take something to market was Fujitsu, which has been pitching a service called Palm Secure.<\/p>\n

\u201cThe beauty of our approach [is] it\u2019s secure and works across all devices that have a camera,\u201d says Konsevich.\u201dThat provides a breadth of applications that can start with online, banking, or an ATM.\u201d<\/strong><\/p><\/blockquote>\n

The company is also claiming that its biometric authentication and identification technology is \u201cenrollment portable\u201d, with authentication technologies available for sign-in authentication across Windows, Android, iOS, Mac OS, and Linux as well as stand-alone client-server technologies. Any device with an RGB or infrared camera and a central processing unit can use the technology, the company said. Beyond the feats of prestidigitation and portability that Redrocks biometric scanning technology allows, the company also differentiates itself by showing intent rather than presence, according to Konsevich.<\/p>\n

\u201cA face shows your presence. A palm shows your intention,\u201d says Konsevich.<\/strong><\/p><\/blockquote>\n

The company, whose software becomes publicly available today, was operating as part of the Wells Fargo Accelerator program. \u201cWe\u2019re an early stage seed partner,\u201d says Bipin Sahni, who serves as the Head of Innovation and R&D, Innovation Group \u2013 \u200eWells Fargo. Sahni says the biggest asset of the accelerator is the validation it gives to other potential bank clients. That said, the accelerator has notched some notable successes. It\u2019s portfolio EyeVerify was brought into Ant Financial and Zowego is a company that\u2019s seen exceptional growth, Sahni says.<\/p>\n

\u201cWe\u2019re not doing this to make 10x, 20x, or 40x,\u201d says Sahni. \u201cThis is a \u2018return-on-innovation\u2019 point of view. Some of these companies will go on to be very big enterprise service providers. It helps them work in our environment and helps them mature as a company too.\u201d<\/p>\n

This article was originally published on TechCrunch<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Two former\u00a0Leap Motion employees think they\u2019ve solved the perennial problem of passwords and identity management authentication. Under the nom de guerre of\u00a0Redrock Biometrics, the company\u2019s technology is waging war on the world\u2019s legions of identification cards, pin numbers, passwords, and voice identification technologies with a combination of off-the-shelf hardware and proprietary software to identify palm-prints […]<\/p>\n","protected":false},"author":3,"featured_media":1038,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[3,1],"tags":[],"class_list":["post-817","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-tech"],"_links":{"self":[{"href":"https:\/\/www.fastmetrics.com\/blog\/wp-json\/wp\/v2\/posts\/817","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.fastmetrics.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.fastmetrics.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.fastmetrics.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fastmetrics.com\/blog\/wp-json\/wp\/v2\/comments?post=817"}],"version-history":[{"count":0,"href":"https:\/\/www.fastmetrics.com\/blog\/wp-json\/wp\/v2\/posts\/817\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.fastmetrics.com\/blog\/wp-json\/wp\/v2\/media\/1038"}],"wp:attachment":[{"href":"https:\/\/www.fastmetrics.com\/blog\/wp-json\/wp\/v2\/media?parent=817"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.fastmetrics.com\/blog\/wp-json\/wp\/v2\/categories?post=817"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.fastmetrics.com\/blog\/wp-json\/wp\/v2\/tags?post=817"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}