TWI745068B - Method for establishing seal identification model and server terminal for establishing seal identification model - Google Patents
Method for establishing seal identification model and server terminal for establishing seal identification model Download PDFInfo
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Abstract
一種印鑑辨識模型建立方法,藉由一伺服端實施,該伺服端對於所儲存的多張印鑑影像之每一者進行色彩變換處理以獲得一異色印鑑影像,並自所儲存的多張表單影像及該等異色印鑑影像中分別選取一目標表單影像及一目標印鑑影像,將該目標印鑑影像疊合於該目標表單影像上以產生一用印影像,且根據該用印影像產生一指示出該用印影像中該目標印鑑影像所對應之位置的標記位置資料,並產生一包括該用印影像及該標記位置資料的訓練資料,以及根據所有訓練資料利用一物件偵測演算法建立一印鑑辨識模型。A method for establishing a seal recognition model is implemented by a server. The server performs color conversion processing on each of a plurality of stored seal images to obtain a different-color seal image, and obtains a different-color seal image from the stored multiple form images and A target form image and a target seal image are selected from the different-color seal images, the target seal image is superimposed on the target form image to generate a print image, and an indication of the print image is generated based on the print image The mark location data of the location corresponding to the target seal image is generated, and training data including the seal image and the mark location data are generated, and an object detection algorithm is used to establish a seal recognition model based on all the training data.
Description
本發明是有關於一種辦公室自動化方法,特別是指一種印鑑辨識模型的建立方法。The invention relates to an office automation method, in particular to a method for establishing a seal identification model.
電子文件已普遍而深入地應用於各行各業中,其中,關於例如銀行業、保險業,特別需要於電子文件中準確地辨別出印鑑影像,以利進行後續例如驗證等手續的需要。Electronic documents have been widely and intensively used in various industries. Among them, for example, banking and insurance industries, it is particularly necessary to accurately identify seal images in electronic documents to facilitate subsequent procedures such as verification.
目前,關於自動辨識電子文件中之印鑑影像的方式,是先建立一個有效的印鑑辨識模型,之後,才能將待辨識的電子文件投入該印鑑辨識模型中,用以自動地辨識出該待辨識的電子文件的印鑑圖案。而關於建立印鑑辨識模型的過程,則是藉由設定者的輸入操作產生包含多個相關於顏色辨識的規則,以供該印鑑辨識模型在收到一張待辨識的影像時,能夠根據顏色辨識的規則進行辨識,舉例來說,該印鑑辨識模型收到待辨識的影像時,將影像中所有像素的像素值投射至RGB色彩空間,再判斷是否存在多個像素值中的R值、G值、B值皆符合預設門檻值的目標像素,當判斷存在有目標像素時,該印鑑辨識模型即將目標像素所構成的圖像作為所辨識出的印鑑影像。At present, the method of automatically recognizing the seal image in an electronic document is to first establish an effective seal recognition model, and then put the electronic document to be recognized into the seal recognition model to automatically identify the to-be-recognized seal image. The seal pattern of the electronic file. Regarding the process of establishing a seal recognition model, the input operation of the setter generates a number of rules related to color recognition, so that the seal recognition model can recognize according to the color when it receives an image to be recognized. For example, when the seal recognition model receives the image to be recognized, it projects the pixel values of all pixels in the image to the RGB color space, and then determines whether there are R values and G values among multiple pixel values , B values are all target pixels that meet the preset threshold value. When it is determined that there are target pixels, the seal recognition model takes the image formed by the target pixels as the recognized seal image.
就相關業者而言,依據上述建立印鑑辨識模型的過程所建立出的印鑑辨識模型,確實可以辨識出待辨識的電子文件中的印鑑影像,不過仍具有缺陷,詳細地說,上述的印鑑辨識模型能夠很好地辨識出紅色的印鑑影像,然而現實生活中的戳印五花八門,顏色也不盡相同,當該待辨識影像中的另一印鑑影像不為紅色(例如藍色、黑色等其他顏色)時,現有印鑑模型則無法辨識出該另一印鑑影像。As far as the relevant industry is concerned, the seal identification model established based on the above process of establishing the seal identification model can indeed identify the seal image in the electronic document to be identified, but it still has defects. In detail, the above-mentioned seal identification model The red seal image can be recognized very well. However, in real life, there are many kinds of stamps with different colors. When another seal image in the image to be recognized is not red (such as blue, black and other colors) At this time, the existing seal model cannot identify the other seal image.
但基於銀行業、保險業對於在電子文件中準確地辨別出印鑑影像,以利進行後續例如驗證工作等有更高要求的業者來說,更精準的印鑑辨識模型的建立過程,仍需要相關業者不斷的研究改進,進而滿足工作上的特殊需求。However, for the banking and insurance industries to accurately identify seal images in electronic documents to facilitate follow-up such as verification work, the establishment process of a more accurate seal recognition model still needs relevant industry players. Continuous research and improvement to meet the special needs of work.
因此,本發明的目的,即在提供一種建立能夠辨識不同顏色之印鑑影像之印鑑辨識模型的印鑑辨識模型建立方法。Therefore, the purpose of the present invention is to provide a seal recognition model establishment method capable of recognizing seal images of different colors.
再者,本發明的另一目的,在於提供一種建立能夠辨識不同顏色之印鑑影像之印鑑辨識模型的伺服端。Furthermore, another object of the present invention is to provide a server for establishing a seal recognition model capable of recognizing seal images of different colors.
於是,本發明印鑑辨識模型建立方法,藉由一連接一使用端的伺服端來實施,該印鑑辨識模型建立方法包含一步驟(A)、一步驟(B)、一步驟(C)、一步驟(D),及一步驟(E)。Therefore, the method for establishing a seal recognition model of the present invention is implemented by a server connected to a user end. The method for establishing a seal recognition model includes one step (A), one step (B), one step (C), and one step ( D), and a step (E).
在該步驟(A)中,藉由該伺服端,對於該伺服端所儲存的多張相關於多個戳印的印鑑影像之每一者,將該印鑑影像進行色彩變換處理,以獲得一與處理前之該印鑑影像具相異顏色的異色印鑑影像。In this step (A), by the server, for each of the plurality of seal images related to the plurality of stamps stored by the server, the seal image is subjected to color conversion processing to obtain a and The seal image before processing is a different-color seal image with different colors.
在該步驟(B)中,藉由該伺服端,自該伺服端所儲存的多張相關於多張表單的表單影像及該等異色印鑑影像中分別選取一目標表單影像及一目標印鑑影像,並將該目標印鑑影像疊合於該目標表單影像之上以產生一用印影像。In this step (B), by the server, a target form image and a target seal image are selected from the multiple form images related to multiple forms and the different-color seal images stored in the server, respectively, And superimpose the target seal image on the target form image to generate a print image.
在該步驟(C)中,藉由該伺服端,根據該用印影像產生一指示出該用印影像中該目標印鑑影像所對應之位置的標記位置資料。In the step (C), the server generates a mark position data indicating the position corresponding to the target seal image in the print image based on the print image.
在該步驟(D)中,藉由該伺服端,產生一包括該用印影像及對應該用印影像之該標記位置資料的訓練資料。In the step (D), the server generates a training data including the printing image and the mark position data corresponding to the printing image.
在該步驟(E)中,藉由該伺服端,根據重複步驟(B)、(C)與(D)所產生的所有訓練資料,利用一物件偵測演算法建立一用於辨識出一待辨識影像中對應於一戳印物件之物件區域的印鑑辨識模型。In this step (E), with the server, based on all the training data generated by repeating steps (B), (C), and (D), an object detection algorithm is used to create an object detection algorithm to identify a waiting Identify the seal recognition model of the object area corresponding to a stamped object in the image.
再者,本發明用於建立印鑑辨識模型的伺服端,包含一伺服端儲存模組,及一伺服端處理模組。Furthermore, the present invention is used to establish the server side of the seal identification model, including a server side storage module and a server side processing module.
該伺服端儲存模組儲存有多張相關於多個戳印的印鑑影像,以及多張相關於多張表單的表單影像。The server-side storage module stores multiple seal images related to multiple stamps, and multiple form images related to multiple forms.
該伺服端處理模組電連接該伺服端儲存模組。The server-side processing module is electrically connected to the server-side storage module.
其中,該伺服端處理模組對該等印鑑影像之每一者,將該印鑑影像進行色彩變換處理,以獲得一與處理前之該印鑑影像具相異顏色的異色印鑑影像,並自該等表單影像及該等異色印鑑影像中分別選取一目標表單影像及一目標印鑑影像,並將該目標印鑑影像疊合於該目標表單影像之上以產生一用印影像,且根據該用印影像產生一指示出該用印影像中該目標印鑑影像所對應之位置的標記位置資料,並產生一包括該用印影像及對應該用印影像之該標記位置資料的訓練資料,以及根據重複前述過程所產生的所有訓練資料,利用一物件偵測演算法建立一用於辨識出一待辨識影像中對應於一戳印物件之物件區域的印鑑辨識模型。Wherein, the server-side processing module performs color conversion processing on the seal image for each of the seal images to obtain a different color seal image with a different color from the seal image before processing, and collects A target form image and a target seal image are respectively selected from the form image and the different-color seal images, and the target seal image is superimposed on the target form image to generate a print image, and an instruction is generated based on the print image Get the mark position data of the position corresponding to the target seal image in the imprint image, and generate a training data including the imprint image and the mark position data corresponding to the imprint image, and all training data generated by repeating the foregoing process Using an object detection algorithm to establish a seal recognition model for recognizing an object area corresponding to a stamped object in a to-be-recognized image.
本發明的功效在於:藉由該伺服端所產生的該等異色印鑑影像,進而產生出具有該目標印鑑影像之該用印影像以及包括該用印影像的該訓練資料,再根據所有訓練資料利用該物件偵測演算法建立該印鑑辨識模型,藉此,由於該等異色印鑑影像與處理前的該等印鑑影像具有不同的顏色,進而讓該伺服端所建立的該印鑑辨識模型能夠辨識不同顏色的印鑑影像。The effect of the present invention is that the different-color seal images generated by the server are used to generate the print image with the target seal image and the training data including the print image, and then use the object according to all the training data The detection algorithm establishes the seal identification model, whereby the different-color seal images and the seal images before processing have different colors, so that the seal identification model established by the server can identify seals of different colors image.
在本發明被詳細描述之前,應當注意在以下的說明內容中,類似的元件是以相同的編號來表示。Before the present invention is described in detail, it should be noted that in the following description, similar elements are denoted by the same numbers.
首先參閱圖1,本發明印鑑辨識模型建立方法的一實施例,由如圖1所示的一印鑑辨識模型建立系統來實施,該印鑑辨識模型建立系統包含本發明用於建立印鑑辨識模型的伺服端1,及一經由一通訊網路100連接至該伺服端1的使用端2。First, referring to FIG. 1, an embodiment of the method for establishing a seal recognition model of the present invention is implemented by a seal recognition model establishment system as shown in FIG.
該伺服端1包含一伺服端通訊模組11、一伺服端儲存模組12,及一電連接該伺服端通訊模組11及該伺服端儲存模組12的伺服端處理模組13,該伺服端通訊模組11連接至該通訊網路100,該伺服端儲存模組12儲存有多張相關於多個戳印的印鑑影像、多張相關於多張表單的表單影像、多筆姓名,以及一用於根據一待處理姓名產生一對應該待處理姓名的模擬戳印圖像的印鑑影像產生器,例如MakePic.com網站所提供的線上印章產生器,或是類似於Adobe公司的Adobe Illustraor的繪圖軟體。在此,該伺服端1是例如雲端伺服器、超級電腦、個人電腦,或是其他類似裝置其中任一。The
該使用端2由一使用者所持有,並包含一使用端通訊模組21、一使用端輸入模組22,及一電連接該使用端通訊模組21及該使用端輸入模組22的使用端處理模組23,該使用端通訊模組21連接至該通訊網路100,該使用端輸入模組22用以供該使用者進行輸入操作。在此,該使用端2是例如個人電腦、平板電腦、筆記型電腦,或其他類似裝置其中任一。The
參閱圖1與圖2,本發明印鑑辨識模型建立方法的該實施例包含一步驟31、一步驟32、一步驟33、一步驟34、一步驟35,及一步驟36,說明如何建立一用於辨識出一待辨識影像中對應於一戳印物件之物件區域的印鑑辨識模型。1 and 2, this embodiment of the method for establishing a seal recognition model of the present invention includes a
首先在該步驟31中,該伺服端處理模組13對於該伺服端儲存模組12所儲存的該等相關於多個戳印的印鑑影像之每一者,將該印鑑影像進行色彩變換處理,以獲得一與處理前之該印鑑影像具相異顏色的異色印鑑影像。其中,該伺服端儲存模組12所儲存的每一印鑑影像屬於一原生印鑑影像及一模擬印鑑影像之其中一者。屬於該原生印鑑影像的印鑑影像係該伺服端處理模組13根據一相關於一印章的戳印圖像所產生的。另一方面,屬於該模擬印鑑影像的印鑑影像係該伺服端處理模組13根據該等姓名中的一目標姓名,利用該印鑑影像產生器產生之對應該目標姓名的模擬戳印圖像所對應產生的。First, in the
參閱圖1與圖3,詳細而言,該步驟31包括一子步驟311、一子步驟312,及一子步驟313,說明該伺服端處理模組13如何對於該等印鑑影像進行色彩變換處理。1 and 3, in detail, the
首先,在該步驟311中,對於每一印鑑影像,該伺服端處理模組13判斷出該印鑑影像是否為該模擬印鑑影像,當該伺服端處理模組13判斷出該印鑑影像為該模擬印鑑影像時,該伺服端處理模組13進行該子步驟312,另一方面,當該伺服端處理模組13判斷出該印鑑影像為該原生印鑑影像時,則該伺服端處理模組13將會直接進行該子步驟313。First, in
之後,在該子步驟312中,該伺服端處理模組13對該印鑑影像進行影像膨脹或影像侵蝕之其中一種的影像處理。其中,該伺服端處理模組13對該印鑑影像進行影像膨脹的影像處理,是為了模擬真實生活中人們在使用印章蓋印時,印章沾取過多印泥而產生的戳印,另一方面,該伺服端處理模組13對該印鑑影像進行影像侵蝕的影像處理,則是為了模擬真實生活中人們在使用印章蓋印時,印章沾取的印泥不足而產生的戳印。After that, in the
接著,在該子步驟313中,該伺服端處理模組13對屬於該原生印鑑影像的每一印鑑影像,及每一進行過影像膨脹或影像侵蝕之其中一種影像處理的印鑑影像,進行色彩變換處理,以獲得與處理前之該印鑑影像具相異顏色的該異色印鑑影像。Then, in the
再參閱圖2,之後,在該步驟32中,該伺服端處理模組13自該伺服端儲存模組12所儲存的多張相關於多張表單的表單影像及該等異色印鑑影像中,分別選取一目標表單影像及一目標印鑑影像,並將該目標印鑑影像疊合於該目標表單影像之上以產生一用印影像,值得一提的是,在日常生活中,一份正式文書不只在用印區會有戳印,當一書寫者在填寫資料因為誤繕而塗抹修改時,該書寫者也會在塗抹修改處蓋下戳印以證明其所填寫的資料並非由他人竄改,因此,在該步驟32中,該伺服端處理模組13係將該目標印鑑影像疊合於該目標表單影像之上的任意一處,以產生該用印影像。2 again, afterwards, in the
接著,在該步驟33中,該使用端處理模組23根據該使用者藉由該使用端輸入模組22的輸入操作,產生一相關於該用印影像的標記請求,並透過該使用端通訊模組21經由該通訊網路100傳送至該伺服端1。Then, in the
在該步驟34中,當該伺服端處理模組13經由該伺服端通訊模組11接收到來自該使用端2的該標記請求後,該伺服端處理模組13根據該標記請求產生一指示出該用印影像中該目標印鑑影像所對應之位置的標記位置資料。需要補充說明的是,在本實施例中,該步驟34是該伺服端處理模組13根據來自該使用端2的該標記請求產生該標記位置資料,但在其他實施例中,該伺服端1亦可僅包含該伺服端儲存模組12及該伺服端處理模組13,該伺服端處理模組13則直接根據該用印影像產生該標記位置資料,換言之,該伺服端處理模組13在進行該步驟32後,略過該步驟33直接進行該步驟34,而在該步驟34中,該伺服端處理模組13是根據該用印影像產生該標記位置資料,並不需要透過來自該使用端2的該標記請求產生該標記位置資料。In
之後,在該步驟35中,該伺服端處理模組13產生一包括該用印影像及對應該用印影像之該標記位置資料的訓練資料。而當不斷地重複該步驟32、該步驟33、該步驟34,及該步驟35時,即可由該伺服端處理模組13建立出大量的訓練資料用以建立該印鑑辨識模型。After that, in
接著,在該步驟36中,該伺服端處理模組13根據所有訓練資料,利用一物件偵測演算法,例如快速區域卷積神經網路(Faster Region-based Convolutional Neural Networks, Faster R-CNN)、單次多框偵測器(Single Shot Multibox Detector,SSD),或是YOLO演算法(You Only Look Once),建立用於辨識出一待辨識影像中對應於一戳印物件之物件區域的該印鑑辨識模型。詳細地說,該步驟36包括一子步驟361、一子步驟362、一子步驟363、一子步驟364,及一子步驟365,說明該伺服端處理模組13如何根據所有的訓練資料,建立該印鑑辨識模型。Then, in
參閱圖1與圖4,首先,在該子步驟361中,該伺服端處理模組13將所有訓練資料分為一訓練子集及一測試子集。1 and 4, first, in the sub-step 361, the
之後,在該子步驟362中,該伺服端處理模組13根據該訓練子集中的每一訓練資料中的該用印影像及該標記位置資料,利用該物件偵測演算法,例如但不限於前述的Faster R-CNN、SSD,或是YOLO演算法,建立用於辨識出一待辨識影像中對應於一戳印物件之物件區域的一訓練模型。Then, in the sub-step 362, the server-
接著,在該子步驟363中,該伺服端處理模組13根據該測試子集中的每一訓練資料中的該用印影像及該標記位置資料,判斷出該訓練模型的辨識正確率是否高於一門檻值,當該伺服端處理模組13判斷出該訓練模型的辨識正確率並未高於該門檻值時,該伺服端處理模組13進行該子步驟364,亦即調整該訓練模型並重新回到該子步驟363,相反地,當該伺服端處理模組13判斷出該訓練模型的辨識正確率高於該門檻值時,該伺服端處理模組13進行該子步驟365,亦即確認該訓練模型為該印鑑辨識模型。Then, in the sub-step 363, the
綜上所述,本發明印鑑辨識模型建立方法,藉由該伺服端1產生該等異色印鑑影像,並根據所選取的該目標表單影像及該目標印鑑影像產生該用印影像,進而產生對應該用印影像的該標記位置資料,以及包括該用印影像及該標記位置資料的該訓練資料,最後再根據所有訓練資料利用該物件偵測演算法建立該印鑑辨識模型,藉此,由於該等異色印鑑影像與處理前的該等印鑑影像具有不同的顏色,因此該伺服端1判斷出該訓練模型的辨識正確率高於該門檻值時,代表所建立出的該印鑑辨識模型(即為該訓練模型)能夠辨識出不同顏色的各種印鑑影像,亦即當該待辨識影像中對應於該戳印物件之物件區域的顏色不為紅色或藍色等某一種預設顏色時,該印鑑辨識模型亦可偵測出對應於該戳印物件之物件區域,故確實能達成本發明的目的。In summary, the method for establishing a seal recognition model of the present invention generates the different-color seal images by the
惟以上所述者,僅為本發明的實施例而已,當不能以此限定本發明實施的範圍,凡是依本發明申請專利範圍及專利說明書內容所作的簡單的等效變化與修飾,皆仍屬本發明專利涵蓋的範圍內。However, the above are only examples of the present invention. When the scope of implementation of the present invention cannot be limited by this, all simple equivalent changes and modifications made in accordance with the scope of the patent application of the present invention and the content of the patent specification still belong to Within the scope covered by the patent of the present invention.
1:伺服端
100:通訊網路
11:伺服端通訊模組
12:伺服端儲存模組
13:伺服端處理模組
2:使用端
21:使用端通訊模組
22:使用端輸入模組
23:使用端處理模組
31~36:步驟
311~313:子步驟
361~365:子步驟
1: Server
100: Communication network
11: Server communication module
12: Server-side storage module
13: Server-side processing module
2: use end
21: User-side communication module
22: User input module
23: User-
本發明的其他的特徵及功效,將於參照圖式的實施方式中清楚地呈現,其中:
圖1是一方塊圖,說明實施本發明印鑑辨識模型建立方法的一實施例的一印鑑辨識模型建立系統;
圖2是一流程圖,說明本發明印鑑辨識模型建立方法的該實施例;
圖3是一流程圖,說明本發明印鑑辨識模型建立方法的該實施例中,一步驟31的子步驟;及
圖4是一流程圖,說明本發明印鑑辨識模型建立方法的該實施例中,一步驟36的子步驟。
Other features and effects of the present invention will be clearly presented in the embodiments with reference to the drawings, in which:
Fig. 1 is a block diagram illustrating a seal recognition model establishment system implementing an embodiment of the seal recognition model establishment method of the present invention;
Figure 2 is a flowchart illustrating this embodiment of the method for establishing a seal identification model of the present invention;
Fig. 3 is a flowchart illustrating the sub-steps of
31~36:步驟 31~36: Steps
Claims (6)
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CN103208004A (en) * | 2013-03-15 | 2013-07-17 | 北京英迈杰科技有限公司 | Automatic recognition and extraction method and device for bill information area |
TWI402769B (en) * | 2004-12-28 | 2013-07-21 | Masahiro Noda | Variable imprint seal system, seal verification system, seal verification method and seal verification program |
CN104112128A (en) * | 2014-06-19 | 2014-10-22 | 中国工商银行股份有限公司 | Digital image processing system applied to bill image character recognition and method |
TWI618013B (en) * | 2016-12-29 | 2018-03-11 | 臺灣中小企業銀行股份有限公司 | Automatic deposit cheque system and method of perfomring the same |
CN110619642A (en) * | 2019-09-05 | 2019-12-27 | 四川大学 | Method for separating seal and background characters in bill image |
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TWI402769B (en) * | 2004-12-28 | 2013-07-21 | Masahiro Noda | Variable imprint seal system, seal verification system, seal verification method and seal verification program |
CN103208004A (en) * | 2013-03-15 | 2013-07-17 | 北京英迈杰科技有限公司 | Automatic recognition and extraction method and device for bill information area |
CN104112128A (en) * | 2014-06-19 | 2014-10-22 | 中国工商银行股份有限公司 | Digital image processing system applied to bill image character recognition and method |
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