CN101344915A - Optical intelligent fingerprint identification method - Google Patents
Optical intelligent fingerprint identification method Download PDFInfo
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- CN101344915A CN101344915A CNA2007100435978A CN200710043597A CN101344915A CN 101344915 A CN101344915 A CN 101344915A CN A2007100435978 A CNA2007100435978 A CN A2007100435978A CN 200710043597 A CN200710043597 A CN 200710043597A CN 101344915 A CN101344915 A CN 101344915A
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- fingerprint image
- fingerprint
- crestal line
- identification method
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Abstract
The invention provides a secondary-generation fingerprint identification method, aiming at overcoming the state that the existing optical fingerprint identification system can only scan the surface of finger skin or scan the dead skin layer, instead of penetrating into the dermal layer because light can not penetrate the surface of the skin (dead skin layer). The method realizes the accuracy of the process of the optical fingerprint identification method.
Description
Technical field
Patent of the present invention relates to a kind of optical intelligent fingerprint identification method, has especially realized a kind of accuracy of process of optical intelligent fingerprint identification method.
Background technology
At present, in the ordinary course of things known, fingerprint identification technology therefrom extracts detailed unique point by analyzing the local feature of fingerprint, thereby confirms an identity reliably.The advantage fingerprint of fingerprint recognition is as the unique feature of human body, and enough features that its complexity can be provided for differentiating have high security.With respect to other identity identifying technologies, fingerprint recognition is a kind of even more ideal identity identifying technology, fingerprint recognition not only has many original information security advantages, the more important thing is and have very high practicality, feasibility, being widely used in finance, ecommerce and security performance will seek advice in the high industry, but learn fingerprint recognition system because light can not transdermal top layer (dead property skin layer), so be merely able to scan the surface of finger skin, perhaps scan dead property skin layer, but can not go deep into skin corium.
Summary of the invention
In order to overcome existing fingerprint recognition system since light can not the transdermal top layer (dead property skin layer), so be merely able to scan the surface of finger skin, perhaps scan dead property skin layer, but can not go deep into the situation of skin corium, the invention provides a kind of second generation fingerprint identification method, this invention has realized a kind of accuracy of optical intelligent fingerprint identification method process.
The technical solution adopted for the present invention to solve the technical problems is: utilize computer science to handle and realize.
The invention has the beneficial effects as follows, realized a kind of accuracy of optical intelligent fingerprint identification method process.
Description of drawings
The present invention is further described below in conjunction with drawings and Examples.
Fig. 1 is a schematic diagram of the present invention
Embodiment
In order to overcome existing fingerprint recognition system since light can not the transdermal top layer (dead property skin layer), so be merely able to scan the surface of finger skin, perhaps scan dead property skin layer, but can not go deep into the situation of skin corium, the invention provides a kind of second generation fingerprint identification method, this invention has realized a kind of accuracy of optical fingerprint recognition methods process.
The process of the processing of total system is divided into four steps:
(1) at first delivers to the FPGA buffering from the fingerprint image of imageing sensor output, the pretreatment module that utilization simultaneously designs is handled data, obtain the coordinate of maximum point in the Grad of each pixel and the sub-piece, all these data deposit among the DDR SDRAM with burst mode together with raw data;
(2) DSP reads all related datas by FPGA from DDR SDRAM, calculate crestal line direction and crestal line frequency, utilize GABOR that raw data is carried out filtering then, view data after the processing deposits among the DDR SDRAM by FPGA again, and therefore the input/output terminal at DDR SDRAM all needs to cushion;
(3) command request of handling according to DSP is read filtered data from DDR SDRAM, extracts maximum point in every row in the fingerprint image (every row) by the Compare Logic of FPGA inside, delivers to DSP and further handles, and finishes ridge Extraction of Fingerprint Image;
(4) finish the coupling recognizer by DSP, and the output result.
Its theoretical step is:
(1) obtains the original fingerprint image, carry out pre-service;
(2) unique point that takes the fingerprint;
(3) fingerprint recognition analysis and judgement.
Claims (2)
- Optical intelligent fingerprint identification method in order to overcome existing fingerprint recognition system since light can not the transdermal top layer (dead property skin layer), so be merely able to scan the surface of finger skin, perhaps scan dead property skin layer, but can not go deep into the situation of skin corium, the invention provides a kind of optical fingerprint recognition methods, this invention has realized a kind of accuracy of optical intelligent fingerprint identification method process, it is characterized in that:Its key step comprises:(1) obtains the original fingerprint image, and carry out pre-service;(2) unique point that takes the fingerprint;(3) fingerprint recognition analysis and judgement.The process of the processing of total system is divided into four steps:(1) at first delivers to the buffer register chip from the fingerprint image of imageing sensor output, the pretreatment module that utilization simultaneously designs is handled data, obtain the coordinate of maximum point in the Grad of each pixel and the sub-piece, all these data deposit in the storer with burst mode together with raw data;(2) processor reads all related datas by the buffer register chip from storer, calculate crestal line direction and crestal line frequency, utilize digital filter apparatus that raw data is carried out filtering then, the view data after the processing deposits in the storer by the buffer register chip again.(3) according to the command request of processor processing, from storer, read filtered data, extract maximum point in every row in the fingerprint image or the every row by the Compare Logic of buffer register chip internal, deliver to processor and further handle, finish ridge Extraction of Fingerprint Image;(4) finish the coupling recognizer by processor, and the output result.
- 2. described in 1, the feature of ridge Extraction of Fingerprint Image is:The principle of ridge Extraction of Fingerprint Image is:Ridge Extraction of Fingerprint Image comprises: the crestal line direction, and except that singular area, fingerprint image is in an enough little zone, and texture is similar to the straight line that is parallel to each other, the direction characteristic of Here it is fingerprint image.Direction characteristic is one of obvious characteristics the most in the fingerprint image, and it reflects the grown form feature of fingerprint image intuitively with the form of simplifying, thereby is widely used in aspects such as Fingerprint classification, enhancing, feature extraction.Extracting crestal line direction method is: fingerprint image is divided into enough little sub-piece, to satisfy the approximately parallel condition of texture in the piece.Crestal line frequency, fingerprint texture also have stable frequency characteristics except having stable direction characteristic.In a regional area of fingerprint image, the texture of crestal line and valley line moves towards parallel, and the intensity profile along ridge paddy direction is similar to sinusoidal envelope simultaneously.The crestal line frequency is defined as the inverse of spacing between two crestal lines.By locating very big, minimum point in this envelope, just can obtain corresponding crestal line spacing and valley line spacing, and then calculate the crestal line frequency.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
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CNA2007100435978A CN101344915A (en) | 2007-07-09 | 2007-07-09 | Optical intelligent fingerprint identification method |
Applications Claiming Priority (1)
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CNA2007100435978A CN101344915A (en) | 2007-07-09 | 2007-07-09 | Optical intelligent fingerprint identification method |
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CN101344915A true CN101344915A (en) | 2009-01-14 |
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CNA2007100435978A Pending CN101344915A (en) | 2007-07-09 | 2007-07-09 | Optical intelligent fingerprint identification method |
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102122214A (en) * | 2009-11-16 | 2011-07-13 | 美国博通公司 | Method for operating game controller to identify user, game controller and console |
WO2016149985A1 (en) * | 2015-03-20 | 2016-09-29 | 宇龙计算机通信科技(深圳)有限公司 | Direction control method, direction control system and terminal |
CN111164609A (en) * | 2019-06-14 | 2020-05-15 | 深圳市汇顶科技股份有限公司 | Fingerprint identification device and electronic equipment |
CN112232159A (en) * | 2020-09-30 | 2021-01-15 | 墨奇科技(北京)有限公司 | Fingerprint identification method, device, terminal and storage medium |
-
2007
- 2007-07-09 CN CNA2007100435978A patent/CN101344915A/en active Pending
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102122214A (en) * | 2009-11-16 | 2011-07-13 | 美国博通公司 | Method for operating game controller to identify user, game controller and console |
US8754746B2 (en) | 2009-11-16 | 2014-06-17 | Broadcom Corporation | Hand-held gaming device that identifies user based upon input from touch sensitive panel |
WO2016149985A1 (en) * | 2015-03-20 | 2016-09-29 | 宇龙计算机通信科技(深圳)有限公司 | Direction control method, direction control system and terminal |
CN111164609A (en) * | 2019-06-14 | 2020-05-15 | 深圳市汇顶科技股份有限公司 | Fingerprint identification device and electronic equipment |
CN111164609B (en) * | 2019-06-14 | 2023-10-13 | 深圳市汇顶科技股份有限公司 | Fingerprint identification device and electronic equipment |
CN112232159A (en) * | 2020-09-30 | 2021-01-15 | 墨奇科技(北京)有限公司 | Fingerprint identification method, device, terminal and storage medium |
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Addressee: Du Xufeng Document name: Notification of before Expiration of Request of Examination as to Substance |
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Open date: 20090114 |