KR20230065135A - Optical character recognition method of hangul - Google Patents

Abstract

The present invention relates to an optical character recognition method of hangul provided by embodiments of the present invention, which may facilitate character learning of infants. In the optical character recognition method of hangul according to embodiments of the present invention, an electronic device comprises: a touch display; and a database in which a plurality of single-letter images classified into a consonant, a vowel, and a final consonant, and Unicode data corresponding to each of the single-letter images are stored. The optical character recognition method of Hangul comprises: receiving a target text image; generating a text area image and coordinating data of the text area image in the target text image by using a text detection model; and recognizing a character string corresponding to the target text image in the text area image by using a text recognition model. The text recognition model may be configured to: divide the text area image into first to fourth sections; divide different weights to each of the first to fourth sections; calculate a concordance rate with any one of the text area images, which is included in one or more of the first to fourth sections, or the single letter image by considering each of the weights; recognize one or more single letters included in the text area image based on the concordance rate; and output a character string corresponding to the target text image based on the recognized single letter and the coordinate data.

Description

Optical Character Recognition Method of Hangul {OPTICAL CHARACTER RECOGNITION METHOD OF HANGUL}

The present invention relates to a method for optical character recognition of Hangul.

Optical Character Recognition technology, which converts character images electronically or mechanically, classifies character patterns into arrays and compares them with circular patterns to find similar shapes (Template matching), statistical method (Statistical) , structural analysis, etc. have been developed to the current method using artificial neural networks.

In addition, as various video output devices such as IP TVs, tablet PCs, and smart phones have recently been produced, and their penetration rates are rapidly increasing, text learning applications that are easily accessible to young children and can arouse interest in them are being released. .

In the text learning method of infants, a method in which infants write letters directly on a touchable display of a video output device to input an answer to a problem and compare it with the correct answer is generally used. However, the optical character recognition rate is very low for children who have not yet properly learned Korean. In addition, it is known that the optical character recognition rate is lower in the case of syllables including final consonants among Korean syllables.

According to an embodiment, a Korean optical character recognition method using an optical character recognition technology with improved character recognition rate is provided.

The technical problems to be solved by the present invention are not limited to the above-mentioned problems, and other technical problems not mentioned will be considered by those skilled in the art from various embodiments to be described below. can

In the optical character recognition method of Hangul according to an embodiment of the present invention for solving the above problem, the electronic device includes: a touch display; A database storing a plurality of word images classified as initial images, neutral images, and final words images, and Unicode data corresponding to each of the letter images, and receiving target character images by the touch display, and a character area A text area image and coordinate data of the text area image are generated in the target text image using a text detection model, and in the text area image, using a text recognition model, the coordinate data of the text area image is generated. and recognizing a character string corresponding to the target character image, wherein the character recognition model divides the character area image into a first region, a second region, a third region, and a fourth region, and the first to fourth regions. Different weights are given to each of the 4 zones, and a matching rate between the character area image included in at least one of the first to fourth zones and any one of the letter images is calculated in consideration of the respective weights Based on the matching rate, one or more characters included in the character area image may be recognized, and a character string corresponding to the target character image may be output based on the recognized characters and the coordinate data.

The character region detection model includes a feature extraction layer, and the feature extraction layer receives the target character image and generates a plurality of feature maps based on the target character image. determining whether a character exists in each of the plurality of feature maps, assigning a feature score to each of the plurality of feature maps, coordinate data of each of the plurality of feature maps, rotation angle of each of the plurality of feature maps, and The character area image may be output based on the feature score.

The text area image has a square shape including a single syllable character image included in the target text image, and the first area is a square at the upper right of the squares generated by dividing the text area image into four equal-sized squares. , the second area corresponds to an upper left square among squares generated by dividing the text area image into squares of the same size, and the third area is formed by dividing the text area image into squares of the same size. It corresponds to a lower left square among squares generated by dividing into quarters, and the fourth area may correspond to a lower right square among squares generated by dividing the text area image into squares of the same size.

Giving different weights to the first to fourth areas is to calculate the matching rate between the letter area image included in at least one of the first to fourth areas and the initial letter image among the letter images, When the highest weight is given to the second area and the matching rate between the character area image included in at least one of the first to fourth areas and the final image among the word images is calculated, the third area and a higher weight than the first and second zones may be assigned to the fourth zone.

The character recognition model includes an input layer, one or more hidden layers, and an output layer, and includes a plurality of character area images included in at least one of the first to fourth areas, the matching rate, and a correct word image. Learning data is input to the input layer of the character recognition model and passes through the one or more hidden layers and output layers to output an output vector, the output vector is input to a loss function layer connected to the output layer, and the loss function The layer outputs a loss value using a loss function that compares the output vector with the correct answer vector for each learning data, and the parameter of the character recognition model is learned in a direction in which the loss value becomes smaller,

[mathematical expression]

The loss function follows the above equation, where N is the number of the plurality of training data, n is a natural number identifying the learning data, k is a natural number identifying the value of the nth learning data, nk is the nth It may mean the kth value of training data, t may mean the correct word image, y may mean the output vector, and E may mean the loss value.

Other specific details of the invention are included in the detailed description and drawings.

According to an embodiment, an optical character recognition method of an electronic device for learning of young children can accurately recognize letters input by the child using a touch display through a high optical character recognition rate, so that the child's character learning can proceed smoothly. .

Effects obtainable from the embodiments are not limited to the effects mentioned above, and other effects not mentioned are clearly derived and understood by those skilled in the art based on the detailed description below. It can be.

BRIEF DESCRIPTION OF THE DRAWINGS Included as part of the detailed description to aid understanding of the embodiments, the accompanying drawings provide various embodiments and, together with the detailed description, describe technical features of the various embodiments.
1 is a diagram illustrating a configuration of an electronic device according to an exemplary embodiment.
2 is a diagram showing the configuration of a program according to an embodiment.
3 is a block diagram illustrating an electronic device for early childhood learning according to an exemplary embodiment.
FIG. 4 is a diagram illustrating the database of FIG. 3 .
5 is a flowchart illustrating a preschool learning process according to an embodiment.
6 is a diagram illustrating a first display screen displayed on a touch display.
7 and 8 are diagrams illustrating a second display screen displayed on a touch display.
9 is a diagram illustrating a third display screen displayed on a touch display.
FIG. 10 is an enlarged view of the user input area of FIG. 8 .
FIG. 11 is a flowchart for explaining S140 of FIG. 5 .
FIG. 12 is an enlarged view of the first letter area image of FIG. 11 .

The following embodiments combine elements and features of the embodiments in a predetermined form. Each component or feature may be considered optional unless explicitly stated otherwise. Each component or feature may be implemented in a form not combined with other components or features. In addition, various embodiments may be configured by combining some components and/or features. The order of operations described in various embodiments may be changed. Some components or features of one embodiment may be included in another embodiment, or may be replaced with corresponding components or features of another embodiment.

In the description of the drawings, procedures or steps that may obscure the gist of various embodiments are not described, and procedures or steps that can be understood by those skilled in the art are not described. did

Throughout the specification, when a part is said to "comprising" or "including" a certain element, it means that it may further include other elements, not excluding other elements, unless otherwise stated. do. Also, “a or an”, “one”, “the” and like terms are used herein in the context of describing various embodiments (particularly in the context of the claims below). Unless otherwise indicated or clearly contradicted by context, both the singular and the plural can be used.

Throughout the specification, when a part is said to be "connected" to another part, this includes not only the case where it is "directly connected" but also the case where it is "electrically connected" with another element interposed therebetween. . In addition, when a part "includes" a certain component, this means that it may further include other components, not excluding other components, unless otherwise stated, and one or more other characteristics. However, it should be understood that it does not preclude the possibility of existence or addition of numbers, steps, operations, components, parts, or combinations thereof.

In this specification, a "unit" includes a unit realized by hardware, a unit realized by software, and a unit realized using both. Further, one unit may be realized using two or more hardware, and two or more units may be realized by one hardware. On the other hand, '~ unit' is not limited to software or hardware, and '~ unit' may be configured to be in an addressable storage medium or configured to reproduce one or more processors. Thus, as an example, '~unit' refers to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, and procedures. , subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays and variables. Functions provided within components and '~units' may be combined into smaller numbers of components and '~units' or further separated into additional components and '~units'. In addition, components and '~units' may be implemented to play one or more CPUs in a device or a secure multimedia card.

In this specification, some of the operations or functions described as being performed by a terminal, device, or device may be performed instead by a server connected to the terminal, device, or device. Likewise, some of the operations or functions described as being performed by the server may also be performed by a terminal, apparatus, or device connected to the server.

In this specification, some of the operations or functions described as mapping or matching with the terminal mean mapping or matching the terminal's unique number or personal identification information, which is the terminal's identifying data. can be interpreted as

In addition, in this specification, blockchain is a technology in which new transaction records are distributed and stored in all nodes when a block is created, and a distributed database management system (DBMS) that secures transparency of transactions by all parties in the transaction separately storing the transaction ledger. means Smart Contract, which forms the basis of the database, is a computer program that automates the agreement process, and is a system that is established immediately when the contract conditions written in the code are satisfied according to the code principle that code is law. .

Hereinafter, embodiments according to various embodiments will be described in detail with reference to the accompanying drawings. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The detailed description set forth below in conjunction with the accompanying drawings is intended to describe exemplary embodiments of various embodiments, and is not intended to represent a single embodiment.

In addition, specific terms used in various embodiments are provided to help understanding of various embodiments, and the use of these specific terms may be changed into other forms without departing from the technical spirit of various embodiments. .

1 is a diagram illustrating a configuration of an electronic device according to an exemplary embodiment.

1 is a block diagram of an electronic device 101 within a network environment 100, according to various embodiments. Referring to FIG. 1 , in a network environment 100, an electronic device 101 communicates with an electronic device 102 through a first network 198 (eg, a short-range wireless communication network) or through a second network 199. It may communicate with at least one of the electronic device 104 or the server 108 through (eg, a long-distance wireless communication network). According to one embodiment, the electronic device 101 may communicate with the electronic device 104 through the server 108 . According to an embodiment, the electronic device 101 includes a processor 120, a memory 130, an input module 150, an audio output module 155, a display module 160, an audio module 170, a sensor module ( 176), interface 177, connection terminal 178, haptic module 179, camera module 180, power management module 188, battery 189, communication module 190, subscriber identification module 196 , or the antenna module 197 may be included. In some embodiments, in the electronic device 101, at least one of these components (eg, the connection terminal 178) may be omitted or one or more other components may be added. In some embodiments, some of these components (eg, sensor module 176, camera module 180, or antenna module 197) are integrated into a single component (eg, display module 160). It can be. The electronic device 101 may also be referred to as a client, terminal, or peer.

The processor 120, for example, executes software (eg, the program 140) to cause at least one other component (eg, hardware or software component) of the electronic device 101 connected to the processor 120. It can control and perform various data processing or calculations. According to one embodiment, as at least part of data processing or operation, the processor 120 transfers instructions or data received from other components (e.g., sensor module 176 or communication module 190) to volatile memory 132. , processing commands or data stored in the volatile memory 132 , and storing resultant data in the non-volatile memory 134 . According to one embodiment, the processor 120 may include a main processor 121 (eg, a central processing unit or an application processor) or a secondary processor 123 (eg, a graphic processing unit, a neural network processing unit ( NPU: neural processing unit (NPU), image signal processor, sensor hub processor, or communication processor). For example, when the electronic device 101 includes the main processor 121 and the auxiliary processor 123, the auxiliary processor 123 may use less power than the main processor 121 or be set to be specialized for a designated function. can The secondary processor 123 may be implemented separately from or as part of the main processor 121 .

The secondary processor 123 may, for example, take the place of the main processor 121 while the main processor 121 is in an inactive (eg, sleep) state, or the main processor 121 is active (eg, running an application). ) state, together with the main processor 121, at least one of the components of the electronic device 101 (eg, the display module 160, the sensor module 176, or the communication module 190) It is possible to control at least some of the related functions or states. According to one embodiment, the auxiliary processor 123 (eg, image signal processor or communication processor) may be implemented as part of other functionally related components (eg, camera module 180 or communication module 190). there is. According to an embodiment, the auxiliary processor 123 (eg, a neural network processing device) may include a hardware structure specialized for processing an artificial intelligence model. AI models can be created through machine learning. Such learning may be performed, for example, in the electronic device 101 itself where the artificial intelligence model is performed, or may be performed through a separate server (eg, the server 108). The learning algorithm may include, for example, supervised learning, unsupervised learning, semi-supervised learning or reinforcement learning, but in the above example Not limited. The artificial intelligence model may include a plurality of artificial neural network layers. Artificial neural networks include deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), restricted boltzmann machines (RBMs), deep belief networks (DBNs), bidirectional recurrent deep neural networks (BRDNNs), It may be one of deep Q-networks or a combination of two or more of the foregoing, but is not limited to the foregoing examples. The artificial intelligence model may include, in addition or alternatively, software structures in addition to hardware structures.

The memory 130 may store various data used by at least one component (eg, the processor 120 or the sensor module 176) of the electronic device 101 . The data may include, for example, input data or output data for software (eg, program 140) and commands related thereto. The memory 130 may include volatile memory 132 or non-volatile memory 134 .

The program 140 may be stored as software in the memory 130 and may include, for example, an operating system 142 , middleware 144 , or an application 146 .

The input module 150 may receive a command or data to be used by a component (eg, the processor 120) of the electronic device 101 from the outside of the electronic device 101 (eg, a user). The input module 150 may include, for example, a microphone, a mouse, a keyboard, a key (eg, a button), or a digital pen (eg, a stylus pen).

The sound output module 155 may output sound signals to the outside of the electronic device 101 . The sound output module 155 may include, for example, a speaker or a receiver. The speaker can be used for general purposes such as multimedia playback or recording playback. A receiver may be used to receive an incoming call. According to one embodiment, the receiver may be implemented separately from the speaker or as part of it.

The display module 160 may visually provide information to the outside of the electronic device 101 (eg, a user). The display module 160 may include, for example, a display, a hologram device, or a projector and a control circuit for controlling the device. According to one embodiment, the display module 160 may include a touch sensor set to detect a touch or a pressure sensor set to measure the intensity of force generated by the touch.

The audio module 170 may convert sound into an electrical signal or vice versa. According to one embodiment, the audio module 170 acquires sound through the input module 150, the sound output module 155, or an external electronic device connected directly or wirelessly to the electronic device 101 (eg: Sound may be output through the electronic device 102 (eg, a speaker or a headphone).

The sensor module 176 detects an operating state (eg, power or temperature) of the electronic device 101 or an external environmental state (eg, a user state), and generates an electrical signal or data value corresponding to the detected state. can do. According to one embodiment, the sensor module 176 may include, for example, a gesture sensor, a gyro sensor, an air pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an IR (infrared) sensor, a bio sensor, It may include a temperature sensor, humidity sensor, or light sensor.

The interface 177 may support one or more designated protocols that may be used to directly or wirelessly connect the electronic device 101 to an external electronic device (eg, the electronic device 102). According to one embodiment, the interface 177 may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.

The connection terminal 178 may include a connector through which the electronic device 101 may be physically connected to an external electronic device (eg, the electronic device 102). According to one embodiment, the connection terminal 178 may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (eg, a headphone connector).

The haptic module 179 may convert electrical signals into mechanical stimuli (eg, vibration or motion) or electrical stimuli that a user may perceive through tactile or kinesthetic senses. According to one embodiment, the haptic module 179 may include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

The camera module 180 may capture still images and moving images. According to one embodiment, the camera module 180 may include one or more lenses, image sensors, image signal processors, or flashes.

The power management module 188 may manage power supplied to the electronic device 101 . According to one embodiment, the power management module 188 may be implemented as at least part of a power management integrated circuit (PMIC), for example.

The battery 189 may supply power to at least one component of the electronic device 101 . According to one embodiment, the battery 189 may include, for example, a non-rechargeable primary cell, a rechargeable secondary cell, or a fuel cell.

The communication module 190 is a direct (eg, wired) communication channel or a wireless communication channel between the electronic device 101 and an external electronic device (eg, the electronic device 102, the electronic device 104, or the server 108). Establishment and communication through the established communication channel may be supported. The communication module 190 may include one or more communication processors that operate independently of the processor 120 (eg, an application processor) and support direct (eg, wired) communication or wireless communication. According to one embodiment, the communication module 190 is a wireless communication module 192 (eg, a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module 194 (eg, : a local area network (LAN) communication module or a power line communication module). Among these communication modules, a corresponding communication module is a first network 198 (eg, a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network 199 (eg, legacy It may communicate with the external electronic device 104 through a cellular network, a 5G network, a next-generation communication network, the Internet, or a telecommunications network such as a computer network (eg, a LAN or a WAN). These various types of communication modules may be integrated as one component (eg, a single chip) or implemented as a plurality of separate components (eg, multiple chips). The wireless communication module 192 uses subscriber information (eg, International Mobile Subscriber Identifier (IMSI)) stored in the subscriber identification module 196 within a communication network such as the first network 198 or the second network 199. The electronic device 101 may be identified or authenticated.

The wireless communication module 192 may support a 5G network after a 4G network and a next-generation communication technology, for example, NR access technology (new radio access technology). NR access technologies include high-speed transmission of high-capacity data (enhanced mobile broadband (eMBB)), minimization of terminal power and access of multiple terminals (massive machine type communications (mMTC)), or high reliability and low latency (ultra-reliable and low latency (URLLC)). -latency communications)) can be supported. The wireless communication module 192 may support a high frequency band (eg, mmWave band) to achieve a high data rate, for example. The wireless communication module 192 uses various technologies for securing performance in a high frequency band, such as beamforming, massive multiple-input and multiple-output (MIMO), and full-dimensional multiplexing. Technologies such as input/output (FD-MIMO: full dimensional MIMO), array antenna, analog beam-forming, or large scale antenna may be supported. The wireless communication module 192 may support various requirements defined for the electronic device 101, an external electronic device (eg, the electronic device 104), or a network system (eg, the second network 199). According to one embodiment, the wireless communication module 192 is a peak data rate for eMBB realization (eg, 20 Gbps or more), a loss coverage for mMTC realization (eg, 164 dB or less), or a U-plane latency for URLLC realization (eg, Example: downlink (DL) and uplink (UL) each of 0.5 ms or less, or round trip 1 ms or less) may be supported.

The antenna module 197 may transmit or receive signals or power to the outside (eg, an external electronic device). According to one embodiment, the antenna module 197 may include an antenna including a radiator formed of a conductor or a conductive pattern formed on a substrate (eg, PCB). According to one embodiment, the antenna module 197 may include a plurality of antennas (eg, an array antenna). In this case, at least one antenna suitable for a communication method used in a communication network such as the first network 198 or the second network 199 is selected from the plurality of antennas by the communication module 190, for example. can be chosen A signal or power may be transmitted or received between the communication module 190 and an external electronic device through the selected at least one antenna. According to some embodiments, other components (eg, a radio frequency integrated circuit (RFIC)) may be additionally formed as a part of the antenna module 197 in addition to the radiator.

According to various embodiments, the antenna module 197 may form a mmWave antenna module. According to one embodiment, the mmWave antenna module includes a printed circuit board, an RFIC disposed on or adjacent to a first surface (eg, a lower surface) of the printed circuit board and capable of supporting a designated high frequency band (eg, mmWave band); and a plurality of antennas (eg, array antennas) disposed on or adjacent to a second surface (eg, a top surface or a side surface) of the printed circuit board and capable of transmitting or receiving signals of the designated high frequency band. can do.

At least some of the components are connected to each other through a communication method between peripheral devices (eg, a bus, general purpose input and output (GPIO), serial peripheral interface (SPI), or mobile industry processor interface (MIPI)) and signal ( e.g. commands or data) can be exchanged with each other.

According to an embodiment, commands or data may be transmitted or received between the electronic device 101 and the external electronic device 104 through the server 108 connected to the second network 199 . Each of the external electronic devices 102 or 104 may be the same as or different from the electronic device 101 . According to an embodiment, all or part of operations executed in the electronic device 101 may be executed in one or more external electronic devices among the external electronic devices 102 , 104 , or 108 . For example, when the electronic device 101 needs to perform a certain function or service automatically or in response to a request from a user or another device, the electronic device 101 instead of executing the function or service by itself. Alternatively or additionally, one or more external electronic devices may be requested to perform the function or at least part of the service. One or more external electronic devices receiving the request may execute at least a part of the requested function or service or an additional function or service related to the request, and deliver the execution result to the electronic device 101 . The electronic device 101 may provide the result as at least part of a response to the request as it is or additionally processed. To this end, for example, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used. The electronic device 101 may provide an ultra-low latency service using, for example, distributed computing or mobile edge computing. In another embodiment, the external electronic device 104 may include an internet of things (IoT) device. Server 108 may be an intelligent server using machine learning and/or neural networks. According to one embodiment, the external electronic device 104 or server 108 may be included in the second network 199 . The electronic device 101 may be applied to intelligent services (eg, smart home, smart city, smart car, or health care) based on 5G communication technology and IoT-related technology.

The server 108 is connected to the electronic device 101 and can provide a service to the connected electronic device 101 . In addition, the server 108 may proceed with a membership sign-up procedure, store and manage various types of information of users subscribed as members, and provide various purchase and payment functions related to services. In addition, the server 108 may share execution data of service applications executed in each of the plurality of electronic devices 101 in real time so that the service can be shared among users. This server 108 may have the same configuration as a conventional web server or WAP server in terms of hardware. However, in terms of software, it may include a program module that is implemented through any language such as C, C++, Java, Visual Basic, or Visual C and performs various functions. In addition, the server 108 is generally connected to an unspecified number of clients and/or other servers through an open computer network such as the Internet, and receives requests from clients or other servers to perform tasks and derives and provides work results. It means a computer system and the computer software (server program) installed for it. In addition, the server 108, in addition to the above-described server program, a series of application programs operating on the server 108 and various databases (DB: Database, hereinafter referred to as It should be understood as a broad concept including DB"). Accordingly, the server 108 classifies member registration information and various information and data about games, stores them in a DB, and manages them. This DB may be implemented inside or outside the server 108 . In addition, the server 108 uses a server program provided in various ways according to operating systems such as DOS, Windows, Linux, UNIX, and Macintosh in general server hardware. As a representative example, a website used in a Windows environment, Internet Information Server (IIS), and CERN, NCSA, APPACH, etc. used in a Unix environment can be used. In addition, the server 108 may interoperate with an authentication system and a payment system for user authentication of services or payment for purchases related to services.

The first network 198 and the second network 199 are a connection structure capable of exchanging information between nodes such as terminals and servers, or a network connecting the server 108 and the electronic devices 101 and 104. means (Network). The first network 198 and the second network 199 include Internet, Local Area Network (LAN), Wireless Local Area Network (Wireless Local Area Network), Wide Area Network (WAN), Personal Area Network (PAN), and 3G , 4G, LTE, 5G, Wi-Fi, etc., but are not limited thereto. The first network 198 and the second network 199 may be closed first networks 198 and second networks 199 such as LAN and WAN, but are preferably open such as the Internet. The Internet is based on the TCP/IP protocol and several services that exist on its upper layer, such as HTTP (HyperText Transfer Protocol), Telnet, FTP (File Transfer Protocol), DNS (Domain Name System), SMTP (Simple Mail Transfer Protocol), SNMP ( Simple Network Management Protocol), Network File Service (NFS), and Network Information Service (NIS).

The database may have a general data structure implemented in a storage space (hard disk or memory) of a computer system using a database management program (DBMS). The database may have a data storage form in which data can be freely searched for (extracted), deleted, edited, added, and the like. Databases are relational database management systems (RDBMS) such as Oracle, Informix, Sybase, and DB2, or object-oriented database management such as Gemston, Orion, and O2. It can be implemented according to the purpose of an embodiment of the present disclosure using a system (OODBMS) and XML Native Databases such as Excelon, Tamino, and Sekaiju, and its functions may have appropriate fields or elements to achieve.

2 is a diagram showing the configuration of a program according to an embodiment.

2 is a block diagram 200 illustrating a program 140 according to various embodiments. According to one embodiment, the program 140 includes an operating system 142, middleware 144, or an application 146 executable in the operating system 142 for controlling one or more resources of the electronic device 101. can include The operating system 142 may include, for example, Android™, iOS™, Windows™, Symbian™, Tizen™, or Bada™. At least some of the programs 140 are, for example, preloaded in the electronic device 101 at the time of manufacture, or when used by a user, an external electronic device (eg, the electronic device 102 or 104), or a server ( 108)) can be downloaded or updated. All or part of program 140 may include a neural network.

The operating system 142 may control management (eg, allocation or reclamation) of one or more system resources (eg, process, memory, or power) of the electronic device 101 . Operating system 142 may additionally or alternatively include other hardware devices of electronic device 101 , such as input module 150 , sound output module 155 , display module 160 , audio module 170 . , sensor module 176, interface 177, haptic module 179, camera module 180, power management module 188, battery 189, communication module 190, subscriber identification module 196, or It may include one or more driver programs for driving the antenna module 197.

The middleware 144 may provide various functions to the application 146 so that the function or information provided from one or more resources of the electronic device 101 may be used by the application 146 . The middleware 144 includes, for example, the application manager 201, the window manager 203, the multimedia manager 205, the resource manager 207, the power manager 209, the database manager 211, and the package manager 213. ), connectivity manager 215, notification manager 217, location manager 219, graphics manager 221, security manager 223, call manager 225, or voice recognition manager 227. can

The application manager 201 may manage the life cycle of the application 146 , for example. The window manager 203 may manage one or more GUI resources used in a screen, for example. The multimedia manager 205 identifies, for example, one or more formats necessary for reproducing media files, and encodes or decodes a corresponding media file among the media files using a codec suitable for the selected format. can be done The resource manager 207 may manage a source code of the application 146 or a memory space of the memory 130 . The power manager 209 may manage, for example, the capacity, temperature, or power of the battery 189, and determine or provide related information necessary for the operation of the electronic device 101 by using corresponding information among them. . According to an embodiment, the power manager 209 may interoperate with a basic input/output system (BIOS) (not shown) of the electronic device 101 .

The database manager 211 may create, search, or change a database to be used by the application 146, for example. The package manager 213 may manage installation or update of applications distributed in the form of package files, for example. The connectivity manager 215 may manage, for example, a wireless connection or a direct connection between the electronic device 101 and an external electronic device. The notification manager 217 may provide a function for notifying a user of occurrence of a designated event (eg, an incoming call, message, or alarm), for example. The location manager 219 may manage location information of the electronic device 101, for example. The graphic manager 221 may manage, for example, one or more graphic effects to be provided to a user or a user interface related thereto.

Security manager 223 may provide system security or user authentication, for example. The telephony manager 225 may manage, for example, a voice call function or a video call function provided by the electronic device 101 . The voice recognition manager 227 transmits, for example, the user's voice data to the server 108, and at least partially based on the voice data, a command corresponding to a function to be performed in the electronic device 101; Alternatively, text data converted at least partially based on the voice data may be received from the server 108 . According to one embodiment, the middleware 244 may dynamically delete some existing components or add new components. According to one embodiment, at least part of the middleware 144 may be included as part of the operating system 142 or may be implemented as separate software different from the operating system 142 .

The application 146 includes, for example, a home 251, a dialer 253, an SMS/MMS 255, an instant message (IM) 257, a browser 259, a camera 261, and an alarm 263. , Contacts (265), Voice Recognition (267), Email (269), Calendar (271), Media Player (273), Albums (275), Watch (277), Health (279) (e.g. exercise or blood sugar) measurement of biometric information) or environmental information 281 (eg, measurement of atmospheric pressure, humidity, or temperature information). According to an embodiment, the application 146 may further include an information exchange application (not shown) capable of supporting information exchange between the electronic device 101 and an external electronic device. The information exchange application may include, for example, a notification relay application configured to transmit designated information (eg, a call, message, or alarm) to an external electronic device, or a device management application configured to manage an external electronic device. there is. The notification relay application, for example, transmits notification information corresponding to a designated event (eg, mail reception) generated in another application (eg, the email application 269) of the electronic device 101 to an external electronic device. can Additionally or alternatively, the notification relay application may receive notification information from an external electronic device and provide the notification information to the user of the electronic device 101 .

The device management application is, for example, a power source (eg, turn-on or turn-off) of an external electronic device that communicates with the electronic device 101 or some component thereof (eg, a display module or a camera module of the external electronic device). ) or functions (eg brightness, resolution, or focus). The device management application may additionally or alternatively support installation, deletion, or update of an application operating in an external electronic device.

Throughout this specification, a neural network, a neural network, and a network function may be used interchangeably. A neural network may consist of a set of interconnected computational units, which may be generally referred to as “nodes”. These “nodes” may also be referred to as “neurons”. A neural network includes at least two or more nodes. Nodes (or neurons) constituting neural networks may be interconnected by one or more “links”.

In a neural network, two or more nodes connected through a link may form a relative relationship of an input node and an output node. The concept of an input node and an output node is relative, and any node in an output node relationship with one node may have an input node relationship with another node, and vice versa. As described above, the input node to output node relationship can be created around the link. More than one output node can be connected to one input node through a link, and vice versa.

In a relationship between an input node and an output node connected through one link, the value of the output node may be determined based on data input to the input node. Here, a node interconnecting the input node and the output node may have a weight. The weight may be variable, and may be changed by a user or an algorithm in order for the neural network to perform a desired function. For example, when one or more input nodes are interconnected by respective links to one output node, the output node is set to a link corresponding to values input to input nodes connected to the output node and respective input nodes. An output node value may be determined based on the weight.

As described above, in a neural network, two or more nodes are interconnected through one or more links to form an input node and output node relationship in the neural network. Characteristics of the neural network may be determined according to the number of nodes and links in the neural network, an association between the nodes and links, and a weight value assigned to each link. For example, when there are two neural networks having the same number of nodes and links and different weight values between the links, the two neural networks may be recognized as different from each other.

In addition, memory includes ROM, RAM, non-volatile memory, volatile memory, hard disk drive (HDD), solid state drive (SSD), USB memory, flash memory card, and various removable and portable storage devices corresponding thereto. Media (eg, SD (Secure Digital) memory card, microSD memory card, ISO 7816 standard storage device, etc.), but not limited thereto, and may include all types of storage devices for storing data. Memory may be referred to as a storage device.

3 is a block diagram illustrating an electronic device for early childhood learning according to an exemplary embodiment. FIG. 4 is a diagram illustrating the database of FIG. 3 .

Referring to FIG. 3 , the electronic device 300 for early childhood learning may include a database 310, a touch display 320, a processor 330, and a memory 340.

The database 310 may store character images for characters used in Hangul and Unicode data corresponding to the character images. Referring to FIG. 4, the letters used in modern Hangeul can be classified into 19 initial consonants, 21 neutral consonants, and 27 final consonants. The initial sound is also called the first sound, the middle sound is the middle sound, and the final sound is also called the final sound. Hangul letters may not include the final sound. The database 310 may store word images representing the shape and form of each letter. In addition, Unicode data corresponding to each word image can be stored. Unicode is an industry standard established by the Unicode Consortium designed to consistently express and handle all characters in the world on computers. The Unicode standard includes the ISO 10646 character set, character encoding, character information database, and algorithms for handling characters. In Unicode, Hangul is assigned to U+AC00 ~ U+D7AF.

The touch display 320 may be a liquid crystal display (LCD) panel, an organic light emitting diode (OLED) panel, or the like. The touch display 320 may also include a touch screen panel (TSP) including touch electrodes for sensing a touch on the display panel. In one embodiment, the touch display 320 may be an in-cell type in which the display panel and the touch panel are integrally coupled. However, this is exemplary, and embodiments of the present invention are not limited thereto. The touch display 320 may electrically recognize a touch of a finger or a pen, generate an electrical signal, and transmit the electrical signal to a processor to be described later.

The processor 330 may control other components of the electronic device 300 for early childhood learning connected to the processor 330 and may perform various data processing or calculations. In addition, the processor 330 responds to the target character image input through the touch display 320 and converted into an electrical signal to the target character image by using a text detection model and a text recognition model. You can create a string that The processor 330 may have the same or similar structure as the processor 120 of FIG. 1 .

The memory 340 may store various data used by components of the electronic device 300 for early childhood learning. The data may include, for example, image data to be learned and word data to be learned for early childhood learning. The memory 340 may include volatile memory or non-volatile memory.

Next, with reference to FIGS. 5 to 9 , a Korean word learning process of an infant using the electronic device 300 for infant learning will be described. Hereinafter, a method of showing a learning target word and an image corresponding to the learning target word in advance by showing picture fairy tale contents to a child through the electronic device 300 for early childhood learning and confirming whether the learning target word is remembered will be described as an example. do. In order to arouse the child's interest, the learning target word may be provided to the child through picture fairy tale content having a plot along with an image corresponding to the learning target word. That is, as part of a method for operating an early childhood education application, the technical idea of optical character recognition of the present invention may be included.

5 is a flowchart illustrating a preschool learning process according to an embodiment. 6 is a diagram illustrating a first display screen displayed on a touch display. 7 and 8 are diagrams illustrating a second display screen displayed on a touch display. 9 is a diagram illustrating a third display screen displayed on a touch display.

Referring to FIGS. 5 and 7 , first, a learning target image is output to the learning target image area 322_1 of the first display screen 322 (S100). The learning target image may be previously stored in the memory 340 . The processor 330 may control the learning target image stored in the memory 340 to be output to the learning target image area 322_1 of the touch display 320 .

6 exemplarily illustrates a reproduction screen of picture moving picture content. The learning target word and the learning target image corresponding to the learning target word may be output in advance through the first display screen 321 as shown in FIG. 6 . That is, through the picture fairy tale contents, the learning target word and the learning target image corresponding to the learning target word may be output in advance so that the child remembers them.

For example, referring to FIG. 6 , the word 'apple' and an image of 'apple' may be output in advance in order to teach the infant to learn the word 'apple'. In addition, a song related to 'apple' (for example, 'My face like an apple' song) is played and played, or a fairy tale animation in which 'apple' is used as a main object (for example, 'The Story of Snow White' fairy tale) By reproducing and showing, picture fairy tale contents can be provided so that children who watch it can recognize 'apples' in various ways.

Thereafter, a learning confirmation screen may be displayed as shown in FIG. 7 to check whether the infant who has watched the picture fairy tale contents remembers the word 'apple'. Referring to FIG. 7 , an 'apple' image corresponding to the learning target word 'apple' may be output on the learning target image area 322_1 of the second display screen 322, and the learning target word description area 322_3 In , appropriate hints related to picture fairy tale contents may be output so that young children can recall 'apple'.

The child can see this and input the correct word through the touch display 320 into the user input area 322_2 of the second display screen 322 as shown in FIG. 8 . That is, the target text image (image_text) is input to the user input area 322_2 (S120).

The processor 330 creates a text area image and coordinate data from the target text image (image_text) by using a text detection model (S130).

The processor 330 recognizes a character string corresponding to the target text image in the text area image by using a text recognition model (S140). A method of recognizing and outputting a character string corresponding to a target character image will be described later in detail.

The processor 330 determines whether the recognized string matches the correct word of the learning target word (S150).

In S150, if the string matches the correct word, the processor 330 outputs the correct answer screen through the touch display 320 (S170), and the learning target image is displayed on the third display screen 323 shown in FIG. It is saved in <My Room> (S180). The learning target image can be implemented in the form of an item that can decorate <My Room>. That is, by providing a learning target image as a reward for learning a learning target word, it is possible to inspire a child's learning motivation.

In S150, if the string does not match the correct word, the processor 330 outputs a correction screen displaying a correction guide phrase by specifying characters that do not match the correct word on the touch display 320 (S160). A method of outputting the correction screen will be described later.

Next, a method of recognizing a character will be described with reference to FIGS. 10 to 12 .

FIG. 10 is an enlarged view of the user input area of FIG. 8 .

Referring to FIG. 10 , the character region detection model may include a feature extraction layer. The feature extraction layer may receive a target text image (image_text) and generate a plurality of feature maps based on the target text image (image_text).

The feature map may be smaller than the size of the target text image (image_text). In one embodiment, the feature map may be 1/16 the size of the target text image (image_text). A feature map may be rectangular. That is, the feature extraction layer may receive a target text image (image_text) and output 16 feature maps.

The feature extraction layer may generate a feature score, an axis-aligned bounding box (AABB), and a rotation angle for each feature map. The feature score may be a score representing numerically whether or not the target text image (image_text) is included in each feature map. AABB may be data predicting a region box of a character region image. The rotation angle may represent the rotation angle of the AABB. The feature extraction layer may output coordinate data of the text area image based on AABB and rotation angle.

That is, the feature extraction layer determines whether a character exists in each of a plurality of feature maps, assigns a feature score to each of the plurality of feature maps, and provides a plurality of character regions based on the coordinate data and feature scores of each of the plurality of feature maps. Images (image_1, image_2) can be output.

FIG. 11 is a flowchart for explaining S140 of FIG. 5 . FIG. 12 is an enlarged view of the first letter area image of FIG. 11 .

Referring to FIGS. 11 and 12 , first, the character area image (image_1) is divided into first to fourth areas (quad_1 to quad_4) (S141). In one embodiment, the text area image image_1 may have a square shape including monosyllabic text images included in the target text image image_text. In an embodiment, the first area quad_1 may correspond to an upper right square among squares generated by dividing the text area image image_1 into squares of the same size. In an embodiment, the second area quad_2 may correspond to an upper left square among squares generated by dividing the text area image image_1 into squares of the same size. In an embodiment, the third area quad_3 may correspond to a lower left square among squares generated by dividing the text area image image_1 into squares of the same size. In an embodiment, the fourth area quad_4 may correspond to a lower right square among squares generated by dividing the text area image image_1 into squares of the same size.

Next, different weights are assigned to the first to fourth zones (quad_1 to quad_4) (S142). In one embodiment, assigning different weights to the first to fourth zones (quad_1 to quad_4) results in a character area image (image_1) included in one or more of the first to fourth zones (quad_1 to quad_4). And, when calculating the matching rate of the initial image among the word images, the highest weight may be given to the second zone (quad_2). For example, when recognizing the initial consonant in the character area image (image_1), the probability that the initial consonant is located in the second section (quad_2) is highest due to the Korean structure, so a higher weight is given to the second section (quad_2) than other sections. can

Similarly, when the neutral is recognized in the character area image (image_1), the probability that the neutral is located in the first zone (quad_1) and the fourth zone (quad_4), or the third zone (quad_3) and the fourth zone is the highest due to the Korean structure. Since it is high, a higher weight than that of the second area (quad_2) may be assigned to the corresponding area.

In addition, when recognizing the final consonant in the character area image (image_1), the probability that the neutral is located in the third section (quad_3) and the fourth section (quad_4) is the highest due to the Korean structure, so the third section (quad_3) and the fourth section (quad_3) and the fourth section (quad_4) can be given a higher weight than the other zones.

That is, assigning different weights to the first to fourth regions (quad_1 to quad_4) results in a character area image (image_1) and a word image included in at least one of the first to fourth regions (quad_1 to quad_4). When calculating the coincidence rate with the middle image, higher weights may be given to the third region (quad_3) and the fourth region (quad_4) than to the first region (quad_1) and the second region (quad_2).

Next, considering each weight, the matching rate between the character area image (image_1) included in one or more of the first to fourth regions (quad_1 to quad_4) and any one of the word images stored in the database 310 Calculate (S143).

Based on the calculated matching rate, one or more letters included in the text area image (image_1) are recognized (S144).

Referring to FIG. 12 , a character area image (image_1) included in the second area (quad_2) and the third area (quad_3) corresponds to the initial letter 'ㅅ' among the word images stored in the database 310. That is, the word image stored in the database 310 having the highest matching rate with the letter area image image_1 included in the second area quad_2 and the third area quad_3 is 'ㅅ'.

In addition, the character area image image_1 included in the first area quad_1 and the fourth area quad_4 corresponds to 'A', which is a neutral image among word images stored in the database 310 . That is, the word image stored in the database 310 having the highest matching rate with the letter area image image_1 included in the first section quad_1 and the fourth section quad_4 is 'A'.

A character string corresponding to the target character image is output based on the recognized character and coordinate data (S145). Referring to FIG. 12 , the processor 330 may output a character string 'four' by sequentially listing 'ㅅ' and 'ㄱ' based on the coordinate data.

The character recognition model may be pre-learned through a plurality of learning data. A character recognition model may include an input layer, one or more hidden layers, and an output layer.

A plurality of training data consisting of a character area image, a matching rate, and a correct word image included in at least one of the first to fourth regions are input to the input layer of the character recognition model, pass through one or more hidden layers and output layers, and output Vectors can be output. The output vector is input to the loss function layer connected to the output layer, and the loss function layer may output a loss value using a loss function that compares the output vector with the correct answer vector for each learning data. Parameters of the character recognition model may be learned in a direction in which a loss value becomes smaller.

The loss function may follow <Equation 1>. In <Equation 1>, N is the number of learning data, n is a natural number identifying the learning data, k is a natural number identifying the value of the nth learning data, nk is the kth value of the nth learning data In this case, t denotes answer data, y denotes the output vector, and E denotes a loss value.

In one embodiment, the processor 330 may output, on the touch display 320, a process of correcting inconsistent text to correct text as an animation. That is, on the basis of the above-described character recognition process, characters in the target character image (image_text) may be recognized for each character, and characters that do not match the correct answer may be individually specified and corrected as the correct answer.

As described above, by separately recognizing the initial consonant, neutral consonant, and final consonant in the target letter image (image_text) input through the electronic device 300 for early childhood learning, the input writing of the infant can be effectively recognized. In addition, errors in the target character image (image_text) can be separated and recognized for each letter, and corrected, so that children can learn Korean easily.

The embodiments described above may be implemented as hardware components, software components, and/or a combination of hardware components and software components. For example, the devices, methods and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate (FPGA). array), programmable logic units (PLUs), microprocessors, or any other device capable of executing and responding to instructions. A processing device may run an operating system (OS) and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of software. For convenience of understanding, there are cases in which one processing device is used, but those skilled in the art will understand that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it can include. For example, a processing device may include a plurality of processors or a processor and a controller. Other processing configurations are also possible, such as parallel processors.

Software may include a computer program, code, instructions, or a combination of one or more of the foregoing, which configures a processing device to operate as desired or processes independently or collectively. You can command the device. Software and/or data may be any tangible machine, component, physical device, virtual equipment, computer storage medium or device, intended to be interpreted by or provide instructions or data to a processing device. , or may be permanently or temporarily embodied in a transmitted signal wave. Software may be distributed on networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer readable media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program commands recorded on the medium may be specially designed and configured for the embodiment or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. - includes hardware devices specially configured to store and execute program instructions, such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with limited drawings, those skilled in the art can apply various technical modifications and variations based on the above. For example, the described techniques may be performed in an order different from the method described, and/or components of the described system, structure, device, circuit, etc. may be combined or combined in a different form than the method described, or other components may be used. Or even if it is replaced or substituted by equivalents, appropriate results can be achieved.

Therefore, other implementations, other embodiments, and equivalents of the claims are within the scope of the following claims.

Claims (2)

In the optical character recognition method of Hangul,
The electronic device,
touch display;
A database storing a plurality of word images classified into initial images, neutral images, and final words, and Unicode data corresponding to each of the letter images;
By the touch display, a target character image is input,
generating a text area image and coordinate data of the text area image from the target text image using a text detection model;
Recognizing a character string corresponding to the target text image in the text area image using a text recognition model,
The character recognition model,
Dividing the text area image into a first area, a second area, a third area, and a fourth area;
Different weights are assigned to each of the first to fourth zones,
Calculate a matching rate between the letter area image included in at least one of the first to fourth areas and any one of the plurality of word images, in consideration of the respective weights;
Based on the matching rate, recognizing one or more words included in the text area image;
Outputting a character string corresponding to the target character image based on the recognized character and the coordinate data;
The text area image has a square shape including a single syllable text image included in the target text image,
The first area corresponds to an upper right square among squares generated by dividing the text area image into four equal-sized squares;
The second area corresponds to an upper left square among squares generated by dividing the text area image into four equal-sized squares;
The third area corresponds to a lower left square among squares generated by dividing the text area image into four equal-sized squares;
The fourth area corresponds to a square at the bottom right of squares generated by dividing the text area image into four equal-sized squares;
Giving different weights to the first to fourth zones,
When calculating the matching rate between the letter area image included in at least one of the first to fourth areas and the initial letter image among the letter images, the highest weight is given to the second area;
When calculating the concordance rate between the character area image included in at least one of the first to fourth areas and the neutral image among the letter images, the third area and the fourth area have a higher weight than the second area is given,
When calculating the coincidence rate between the character area image included in at least one of the first to fourth areas and the final image of the letter image, the first area and the second area in the third area and the fourth area giving a higher weight than the zone,
Optical Character Recognition Method of Hangeul. According to claim 1,
The character area detection model,
including a feature extraction layer;
The feature extraction layer,
Receiving the target text image,
Based on the target character image, a plurality of feature maps are generated;
determining whether a character exists in each of the plurality of feature maps, and assigning a feature score to each of the plurality of feature maps;
outputting the character area image based on the coordinate data of each of the plurality of feature maps and the feature score;
Optical Character Recognition Method of Hangeul.

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