CN105205369A - Palm vein image data processing method - Google Patents
Palm vein image data processing method Download PDFInfo
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- CN105205369A CN105205369A CN201510513342.8A CN201510513342A CN105205369A CN 105205369 A CN105205369 A CN 105205369A CN 201510513342 A CN201510513342 A CN 201510513342A CN 105205369 A CN105205369 A CN 105205369A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1347—Preprocessing; Feature extraction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2221/00—Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/21—Indexing scheme relating to G06F21/00 and subgroups addressing additional information or applications relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/2133—Verifying human interaction, e.g., Captcha
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
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- General Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
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Abstract
The invention discloses a palm vein image data processing method. The palm vein image data processing method comprises the following steps: converting an obtained palm vein image eigenvalue data into a packet in a TCP format; encryption and compression steps; and uncompression and decryption steps. The palm vein image data processing method disclosed by the invention is less in operation data and short in waiting time, and can carry out safety protection for palm vein image data processing at all levels of acquisition, transmission, storage, identification and the like of palm vein images.
Description
Technical field
The present invention relates to digital processing field, a kind of vena metacarpea image processing method particularly in this field.
Background technology
Along with the arrival of information age, the security of information and confidentiality cause the general concern of people.Vena metacarpea intelligent biological identification and authentication is a kind of living things feature recognition based on live body and authentication techniques, its principle be according to the protoheme in blood near infrared absorption, take out vena metacarpea distribution plan, carry out Image semantic classification, extract eigenwert, pattern match, thus automatically identify target.The whole dependence on import of relevant vena metacarpea intelligent biological identification product needed for strategic field such as domesticly at present have the national defence of high requirement, finance to authentication, maintain secrecy, and expensive, domesticly not yet forms complete software and hardware architecture structure.
Chinese invention patent application CN102609697A discloses a kind of tendril model modelling approach for the identification of hand vein three-dimensional feature.First homogeneous by caliber, rattan classification, node partition, spread constraint four principles and simplify and abstract hand venous space structure; Then the element of tendril model, attribute and mathematical description is provided; The data structure of tendril model is finally utilized to draw vein stereo-picture.Adopt hand vein tendril model to instruct three-dimensional reconstruction, the impact of some factors can be weakened, such as: repair the vein of fracture, reject burr and noise, matching venous space curve; By the three-dimensional venous space Structural abstraction of complexity and simplification, the tissue of data and the extraction of feature can be convenient to.But it is many that this processing mode exists operational data, speed is slow, and the shortcoming that the stand-by period is long is difficult to industrialized implementation.And the safety of data does not obtain enough attention, easily at generation data leaks at all levels such as vena metacarpea image data acquiring, transmission, storage, certifications yet.
Summary of the invention
Technical matters to be solved by this invention, is just to provide a kind of vena metacarpea image processing method ensureing data transmission security.
In order to solve the problems of the technologies described above, the present invention adopts following technical scheme:
A kind of vena metacarpea image processing method, its improvements are, comprise the steps:
(1) be TCP formatted data bag by the vena metacarpea image feature value data transformations of acquisition;
(2) encryption, compression step
(21) according to the Encryption Model preset, AES encryption algorithm is adopted to carry out the encryption of first section of packet; Md5 encryption algorithm is adopted to carry out the encryption of packet stage casing; RSA cryptographic algorithms is adopted to carry out the encryption of packet rear;
(22) determine the signature identification of packet, the compact model according to presetting carries out squeeze operation to packet;
(3) decompression, decryption step
(31) decompression operation is carried out to packet, with the signature identification of restoring data bag according to the decompression model preset;
(32) according to the decrypted model preset, AES decipherment algorithm is adopted to carry out the deciphering of first section of packet; MD5 decipherment algorithm is adopted to carry out the deciphering of packet stage casing; RSA decipherment algorithm is adopted to carry out the deciphering of packet rear.
Further, described TCP formatted data bag size is 5MB-8MB.
Further, first section of described packet is preamble segment, and rear is telegram end section, and all the other are stage casing.
Further, the signature identification of described packet is Cyclic Redundancy Code or Hamming code.
The invention has the beneficial effects as follows:
Vena metacarpea image processing method disclosed in this invention, operational data is few, and the stand-by period is short, can carry out security protection the collection of vena metacarpea view data, transmission, storage, certification etc. are at all levels to vena metacarpea image real time transfer.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with embodiment, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
Embodiment 1, present embodiment discloses a kind of vena metacarpea image processing method, comprises the steps:
(1) be TCP formatted data bag by the vena metacarpea image feature value data transformations of acquisition;
(2) encryption, compression step
(21) according to the Encryption Model preset, AES encryption algorithm is adopted to carry out the encryption of first section of packet; Md5 encryption algorithm is adopted to carry out the encryption of packet stage casing; RSA cryptographic algorithms is adopted to carry out the encryption of packet rear;
(22) determine the signature identification of packet, the compact model according to presetting carries out squeeze operation to packet;
(3) decompression, decryption step
(31) decompression operation is carried out to packet, with the signature identification of restoring data bag according to the decompression model preset;
(32) according to the decrypted model preset, AES decipherment algorithm is adopted to carry out the deciphering of first section of packet; MD5 decipherment algorithm is adopted to carry out the deciphering of packet stage casing; RSA decipherment algorithm is adopted to carry out the deciphering of packet rear.
Described TCP formatted data bag size is 5MB.First section of described packet is preamble segment, and rear is telegram end section, and all the other are stage casing.The signature identification of described packet is Cyclic Redundancy Code.
Embodiment 2, present embodiment discloses a kind of vena metacarpea image processing method, comprises the steps:
(1) be TCP formatted data bag by the vena metacarpea image feature value data transformations of acquisition;
(2) encryption, compression step
(21) according to the Encryption Model preset, AES encryption algorithm is adopted to carry out the encryption of first section of packet; Md5 encryption algorithm is adopted to carry out the encryption of packet stage casing; RSA cryptographic algorithms is adopted to carry out the encryption of packet rear;
(22) determine the signature identification of packet, the compact model according to presetting carries out squeeze operation to packet;
(3) decompression, decryption step
(31) decompression operation is carried out to packet, with the signature identification of restoring data bag according to the decompression model preset;
(32) according to the decrypted model preset, AES decipherment algorithm is adopted to carry out the deciphering of first section of packet; MD5 decipherment algorithm is adopted to carry out the deciphering of packet stage casing; RSA decipherment algorithm is adopted to carry out the deciphering of packet rear.Described TCP formatted data bag size is 8MB.First section of described packet is preamble segment, and rear is telegram end section, and all the other are stage casing.The signature identification of described packet is Hamming code.
Embodiment 3, present embodiment discloses a kind of vena metacarpea image processing method, comprises the steps:
(1) be TCP formatted data bag by the vena metacarpea image feature value data transformations of acquisition;
(2) encryption, compression step
(21) according to the Encryption Model preset, AES encryption algorithm is adopted to carry out the encryption of first section of packet; Md5 encryption algorithm is adopted to carry out the encryption of packet stage casing; RSA cryptographic algorithms is adopted to carry out the encryption of packet rear;
(22) determine the signature identification of packet, the compact model according to presetting carries out squeeze operation to packet;
(3) decompression, decryption step
(31) decompression operation is carried out to packet, with the signature identification of restoring data bag according to the decompression model preset;
(32) according to the decrypted model preset, AES decipherment algorithm is adopted to carry out the deciphering of first section of packet; MD5 decipherment algorithm is adopted to carry out the deciphering of packet stage casing; RSA decipherment algorithm is adopted to carry out the deciphering of packet rear.Described TCP formatted data bag size is 7MB.First section of described packet is preamble segment, and rear is telegram end section, and all the other are stage casing.The signature identification of described packet is Cyclic Redundancy Code.
As seen through the above description of the embodiments, those skilled in the art can be well understood to the mode that the application can add required general hardware platform by software and realizes.Based on such understanding, the technical scheme of the application can embody with the form of software product the part that prior art contributes in essence in other words, in one typically configuration, computing equipment comprises one or more processor (CPU), input/output interface, network interface and internal memory.This computer software product can comprise the method some part described in of some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) perform each embodiment of the application or embodiment.This computer software product can be stored in internal memory, internal memory may comprise the volatile memory in computer-readable medium, the forms such as random access memory (RAM) and/or Nonvolatile memory, as ROM (read-only memory) (ROM) or flash memory (flashRAM).Internal memory is the example of computer-readable medium.Computer-readable medium comprises permanent and impermanency, removable and non-removable media can be stored to realize information by any method or technology.Information can be computer-readable instruction, data structure, the module of program or other data.The example of the storage medium of computing machine comprises, but be not limited to phase transition internal memory (PRAM), static RAM (SRAM), dynamic RAM (DRAM), the random access memory (RAM) of other types, ROM (read-only memory) (ROM), Electrically Erasable Read Only Memory (EEPROM), fast flash memory bank or other memory techniques, read-only optical disc ROM (read-only memory) (CD-ROM), digital versatile disc (DVD) or other optical memory, magnetic magnetic tape cassette, tape magnetic rigid disk stores or other magnetic storage apparatus or any other non-transmitting medium, can be used for storing the information can accessed by computing equipment.According to defining herein, computer-readable medium does not comprise of short duration computer readable media (transitorymedia), as data-signal and the carrier wave of modulation.
Although depict the application by embodiment, those of ordinary skill in the art know, the application has many distortion and change and do not depart from the spirit of the application, and the claim appended by wishing comprises these distortion and change and do not depart from the spirit of the application.
Claims (4)
1. a vena metacarpea image processing method, is characterized in that, comprises the steps:
(1) be TCP formatted data bag by the vena metacarpea image feature value data transformations of acquisition;
(2) encryption, compression step
(21) according to the Encryption Model preset, AES encryption algorithm is adopted to carry out the encryption of first section of packet; Md5 encryption algorithm is adopted to carry out the encryption of packet stage casing; RSA cryptographic algorithms is adopted to carry out the encryption of packet rear;
(22) determine the signature identification of packet, the compact model according to presetting carries out squeeze operation to packet;
(3) decompression, decryption step
(31) decompression operation is carried out to packet, with the signature identification of restoring data bag according to the decompression model preset;
(32) according to the decrypted model preset, AES decipherment algorithm is adopted to carry out the deciphering of first section of packet; MD5 decipherment algorithm is adopted to carry out the deciphering of packet stage casing; RSA decipherment algorithm is adopted to carry out the deciphering of packet rear.
2. vena metacarpea image processing method according to claim 1, is characterized in that: described TCP formatted data bag size is 5MB-8MB.
3. vena metacarpea image processing method according to claim 1, is characterized in that: first section of described packet is preamble segment, and rear is telegram end section, and all the other are stage casing.
4. vena metacarpea image processing method according to claim 1, is characterized in that: the signature identification of described packet is Cyclic Redundancy Code or Hamming code.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510513342.8A CN105205369A (en) | 2015-08-20 | 2015-08-20 | Palm vein image data processing method |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510513342.8A CN105205369A (en) | 2015-08-20 | 2015-08-20 | Palm vein image data processing method |
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| CN105205369A true CN105205369A (en) | 2015-12-30 |
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| CN201510513342.8A Pending CN105205369A (en) | 2015-08-20 | 2015-08-20 | Palm vein image data processing method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109344641A (en) * | 2018-08-20 | 2019-02-15 | 广州飞硕信息科技股份有限公司 | A kind of processing method of local data, device and storage medium |
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| CN101808095A (en) * | 2010-03-22 | 2010-08-18 | 华中科技大学 | Encryption copy organization method under distributed storage environment |
| CN102752102A (en) * | 2012-07-02 | 2012-10-24 | 珠海全志科技股份有限公司 | Data package segmented encryption and transmission processing method and device |
| CN102780685A (en) * | 2011-05-12 | 2012-11-14 | 国际商业机器公司 | Method and system for compressing and encrypting data |
| CN203276380U (en) * | 2013-04-23 | 2013-11-06 | 江苏富士通通信技术有限公司 | Distributed door access authentication system based on palm veins |
| CN104184646A (en) * | 2014-09-05 | 2014-12-03 | 深信服网络科技（深圳）有限公司 | VPN data interaction method and system and VPN data interaction device |
-
2015
- 2015-08-20 CN CN201510513342.8A patent/CN105205369A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101808095A (en) * | 2010-03-22 | 2010-08-18 | 华中科技大学 | Encryption copy organization method under distributed storage environment |
| CN102780685A (en) * | 2011-05-12 | 2012-11-14 | 国际商业机器公司 | Method and system for compressing and encrypting data |
| CN102752102A (en) * | 2012-07-02 | 2012-10-24 | 珠海全志科技股份有限公司 | Data package segmented encryption and transmission processing method and device |
| CN203276380U (en) * | 2013-04-23 | 2013-11-06 | 江苏富士通通信技术有限公司 | Distributed door access authentication system based on palm veins |
| CN104184646A (en) * | 2014-09-05 | 2014-12-03 | 深信服网络科技（深圳）有限公司 | VPN data interaction method and system and VPN data interaction device |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109344641A (en) * | 2018-08-20 | 2019-02-15 | 广州飞硕信息科技股份有限公司 | A kind of processing method of local data, device and storage medium |
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Application publication date: 20151230 |